[2024/03/06 22:53:34] ppocr INFO: Architecture : [2024/03/06 22:53:34] ppocr INFO: Backbone : [2024/03/06 22:53:34] ppocr INFO: checkpoints : None [2024/03/06 22:53:34] ppocr INFO: mode : vi [2024/03/06 22:53:34] ppocr INFO: name : LayoutXLMForSer [2024/03/06 22:53:34] ppocr INFO: num_classes : 79 [2024/03/06 22:53:34] ppocr INFO: pretrained : True [2024/03/06 22:53:34] ppocr INFO: Transform : None [2024/03/06 22:53:34] ppocr INFO: algorithm : LayoutXLM [2024/03/06 22:53:34] ppocr INFO: model_type : kie [2024/03/06 22:53:34] ppocr INFO: Eval : [2024/03/06 22:53:34] ppocr INFO: dataset : [2024/03/06 22:53:34] ppocr INFO: data_dir : /content/PaddleOCR/dataset/testing_data/images [2024/03/06 22:53:34] ppocr INFO: label_file_list : ['/content/PaddleOCR/dataset/test.json'] [2024/03/06 22:53:34] ppocr INFO: name : SimpleDataSet [2024/03/06 22:53:34] ppocr INFO: transforms : [2024/03/06 22:53:34] ppocr INFO: DecodeImage : [2024/03/06 22:53:34] ppocr INFO: channel_first : False [2024/03/06 22:53:34] ppocr INFO: img_mode : RGB [2024/03/06 22:53:34] ppocr INFO: VQATokenLabelEncode : [2024/03/06 22:53:34] ppocr INFO: algorithm : LayoutXLM [2024/03/06 22:53:34] ppocr INFO: class_path : /content/PaddleOCR/dataset/class_list_jmfunsd.txt [2024/03/06 22:53:34] ppocr INFO: contains_re : False [2024/03/06 22:53:34] ppocr INFO: order_method : tb-yx [2024/03/06 22:53:34] ppocr INFO: use_textline_bbox_info : True [2024/03/06 22:53:34] ppocr INFO: VQATokenPad : [2024/03/06 22:53:34] ppocr INFO: max_seq_len : 512 [2024/03/06 22:53:34] ppocr INFO: return_attention_mask : True [2024/03/06 22:53:34] ppocr INFO: VQASerTokenChunk : [2024/03/06 22:53:34] ppocr INFO: max_seq_len : 512 [2024/03/06 22:53:34] ppocr INFO: Resize : [2024/03/06 22:53:34] ppocr INFO: size : [224, 224] [2024/03/06 22:53:34] ppocr INFO: NormalizeImage : [2024/03/06 22:53:34] ppocr INFO: mean : [123.675, 116.28, 103.53] [2024/03/06 22:53:34] ppocr INFO: order : hwc [2024/03/06 22:53:34] ppocr INFO: scale : 1 [2024/03/06 22:53:34] ppocr INFO: std : [58.395, 57.12, 57.375] [2024/03/06 22:53:34] ppocr INFO: ToCHWImage : None [2024/03/06 22:53:34] ppocr INFO: KeepKeys : [2024/03/06 22:53:34] ppocr INFO: keep_keys : ['input_ids', 'bbox', 'attention_mask', 'token_type_ids', 'image', 'labels'] [2024/03/06 22:53:34] ppocr INFO: loader : [2024/03/06 22:53:34] ppocr INFO: batch_size_per_card : 8 [2024/03/06 22:53:34] ppocr INFO: drop_last : False [2024/03/06 22:53:34] ppocr INFO: num_workers : 4 [2024/03/06 22:53:34] ppocr INFO: shuffle : False [2024/03/06 22:53:34] ppocr INFO: Global : [2024/03/06 22:53:34] ppocr INFO: amp_custom_white_list : ['scale', 'concat', 'elementwise_add'] [2024/03/06 22:53:34] ppocr INFO: cal_metric_during_train : False [2024/03/06 22:53:34] ppocr INFO: d2s_train_image_shape : [3, 224, 224] [2024/03/06 22:53:34] ppocr INFO: distributed : False [2024/03/06 22:53:34] ppocr INFO: epoch_num : 200 [2024/03/06 22:53:34] ppocr INFO: eval_batch_step : [0, 19] [2024/03/06 22:53:34] ppocr INFO: infer_img : ppstructure/docs/kie/input/zh_val_42.jpg [2024/03/06 22:53:34] ppocr INFO: kie_det_model_dir : None [2024/03/06 22:53:34] ppocr INFO: kie_rec_model_dir : None [2024/03/06 22:53:34] ppocr INFO: log_smooth_window : 10 [2024/03/06 22:53:34] ppocr INFO: print_batch_step : 10 [2024/03/06 22:53:34] ppocr INFO: save_epoch_step : 2000 [2024/03/06 22:53:34] ppocr INFO: save_inference_dir : None [2024/03/06 22:53:34] ppocr INFO: save_model_dir : ./output/ser_vi_layoutxlm_xfund_zh [2024/03/06 22:53:34] ppocr INFO: save_res_path : /content/PaddleOCR/output/ser_layoutxlm_xfund_zh/res [2024/03/06 22:53:34] ppocr INFO: seed : 2022 [2024/03/06 22:53:34] ppocr INFO: use_gpu : True [2024/03/06 22:53:34] ppocr INFO: use_visualdl : False [2024/03/06 22:53:34] ppocr INFO: Loss : [2024/03/06 22:53:34] ppocr INFO: key : backbone_out [2024/03/06 22:53:34] ppocr INFO: name : VQASerTokenLayoutLMLoss [2024/03/06 22:53:34] ppocr INFO: num_classes : 79 [2024/03/06 22:53:34] ppocr INFO: Metric : [2024/03/06 22:53:34] ppocr INFO: main_indicator : hmean [2024/03/06 22:53:34] ppocr INFO: name : VQASerTokenMetric [2024/03/06 22:53:34] ppocr INFO: Optimizer : [2024/03/06 22:53:34] ppocr INFO: beta1 : 0.9 [2024/03/06 22:53:34] ppocr INFO: beta2 : 0.999 [2024/03/06 22:53:34] ppocr INFO: lr : [2024/03/06 22:53:34] ppocr INFO: epochs : 200 [2024/03/06 22:53:34] ppocr INFO: learning_rate : 5e-05 [2024/03/06 22:53:34] ppocr INFO: name : Linear [2024/03/06 22:53:34] ppocr INFO: warmup_epoch : 2 [2024/03/06 22:53:34] ppocr INFO: name : AdamW [2024/03/06 22:53:34] ppocr INFO: regularizer : [2024/03/06 22:53:34] ppocr INFO: factor : 0.0 [2024/03/06 22:53:34] ppocr INFO: name : L2 [2024/03/06 22:53:34] ppocr INFO: PostProcess : [2024/03/06 22:53:34] ppocr INFO: class_path : /content/PaddleOCR/dataset/class_list_jmfunsd.txt [2024/03/06 22:53:34] ppocr INFO: name : VQASerTokenLayoutLMPostProcess [2024/03/06 22:53:34] ppocr INFO: Train : [2024/03/06 22:53:34] ppocr INFO: dataset : [2024/03/06 22:53:34] ppocr INFO: data_dir : /content/PaddleOCR/dataset/training_data/images [2024/03/06 22:53:34] ppocr INFO: label_file_list : ['/content/PaddleOCR/dataset/train.json'] [2024/03/06 22:53:34] ppocr INFO: name : SimpleDataSet [2024/03/06 22:53:34] ppocr INFO: ratio_list : [1.0] [2024/03/06 22:53:34] ppocr INFO: transforms : [2024/03/06 22:53:34] ppocr INFO: DecodeImage : [2024/03/06 22:53:34] ppocr INFO: channel_first : False [2024/03/06 22:53:34] ppocr INFO: img_mode : RGB [2024/03/06 22:53:34] ppocr INFO: VQATokenLabelEncode : [2024/03/06 22:53:34] ppocr INFO: algorithm : LayoutXLM [2024/03/06 22:53:34] ppocr INFO: class_path : /content/PaddleOCR/dataset/class_list_jmfunsd.txt [2024/03/06 22:53:34] ppocr INFO: contains_re : False [2024/03/06 22:53:34] ppocr INFO: order_method : tb-yx [2024/03/06 22:53:34] ppocr INFO: use_textline_bbox_info : True [2024/03/06 22:53:34] ppocr INFO: VQATokenPad : [2024/03/06 22:53:34] ppocr INFO: max_seq_len : 512 [2024/03/06 22:53:34] ppocr INFO: return_attention_mask : True [2024/03/06 22:53:34] ppocr INFO: VQASerTokenChunk : [2024/03/06 22:53:34] ppocr INFO: max_seq_len : 512 [2024/03/06 22:53:34] ppocr INFO: Resize : [2024/03/06 22:53:34] ppocr INFO: size : [224, 224] [2024/03/06 22:53:34] ppocr INFO: NormalizeImage : [2024/03/06 22:53:34] ppocr INFO: mean : [123.675, 116.28, 103.53] [2024/03/06 22:53:34] ppocr INFO: order : hwc [2024/03/06 22:53:34] ppocr INFO: scale : 1 [2024/03/06 22:53:34] ppocr INFO: std : [58.395, 57.12, 57.375] [2024/03/06 22:53:34] ppocr INFO: ToCHWImage : None [2024/03/06 22:53:34] ppocr INFO: KeepKeys : [2024/03/06 22:53:34] ppocr INFO: keep_keys : ['input_ids', 'bbox', 'attention_mask', 'token_type_ids', 'image', 'labels'] [2024/03/06 22:53:34] ppocr INFO: loader : [2024/03/06 22:53:34] ppocr INFO: batch_size_per_card : 8 [2024/03/06 22:53:34] ppocr INFO: drop_last : False [2024/03/06 22:53:34] ppocr INFO: num_workers : 4 [2024/03/06 22:53:34] ppocr INFO: shuffle : True [2024/03/06 22:53:34] ppocr INFO: profiler_options : None [2024/03/06 22:53:34] ppocr INFO: train with paddle 2.6.0 and device Place(gpu:0) [2024/03/06 22:53:34] ppocr INFO: Initialize indexs of datasets:['/content/PaddleOCR/dataset/train.json'] [2024/03/06 22:53:36] ppocr INFO: Initialize indexs of datasets:['/content/PaddleOCR/dataset/test.json'] [2024/03/06 22:53:41] ppocr INFO: train dataloader has 26 iters [2024/03/06 22:53:41] ppocr INFO: valid dataloader has 6 iters [2024/03/06 22:53:41] ppocr INFO: During the training process, after the 0th iteration, an evaluation is run every 19 iterations [2024/03/06 22:53:45] ppocr INFO: epoch: [1/200], global_step: 10, lr: 0.000004, loss: 4.474517, avg_reader_cost: 0.05012 s, avg_batch_cost: 0.24518 s, avg_samples: 8.0, ips: 32.62867 samples/s, eta: 0:21:12 [2024/03/06 22:53:48] ppocr INFO: cur metric, precision: 0.0, recall: 0.0, hmean: 0.0, fps: 78.6326501194423 [2024/03/06 22:54:11] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 22:54:11] ppocr INFO: best metric, hmean: 0.0, precision: 0.0, recall: 0.0, fps: 78.6326501194423, best_epoch: 1 [2024/03/06 22:54:11] ppocr INFO: epoch: [1/200], global_step: 20, lr: 0.000014, loss: 3.599847, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13734 s, avg_samples: 8.0, ips: 58.24984 samples/s, eta: 0:16:30 [2024/03/06 22:54:12] ppocr INFO: epoch: [1/200], global_step: 26, lr: 0.000020, loss: 3.238204, avg_reader_cost: 0.00013 s, avg_batch_cost: 0.07407 s, avg_samples: 4.3, ips: 58.05426 samples/s, eta: 0:15:08 [2024/03/06 22:54:27] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 22:54:29] ppocr INFO: epoch: [2/200], global_step: 30, lr: 0.000024, loss: 3.052297, avg_reader_cost: 1.53505 s, avg_batch_cost: 1.59169 s, avg_samples: 3.2, ips: 2.01045 samples/s, eta: 0:58:49 [2024/03/06 22:54:32] ppocr INFO: cur metric, precision: 0.13187954309449637, recall: 0.059484777517564404, hmean: 0.08198837959974177, fps: 78.72116675557416 [2024/03/06 22:54:58] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 22:54:58] ppocr INFO: best metric, hmean: 0.08198837959974177, precision: 0.13187954309449637, recall: 0.059484777517564404, fps: 78.72116675557416, best_epoch: 2 [2024/03/06 22:54:59] ppocr INFO: epoch: [2/200], global_step: 40, lr: 0.000033, loss: 2.375224, avg_reader_cost: 0.00036 s, avg_batch_cost: 0.13895 s, avg_samples: 8.0, ips: 57.57278 samples/s, eta: 0:47:01 [2024/03/06 22:55:01] ppocr INFO: epoch: [2/200], global_step: 50, lr: 0.000043, loss: 1.984211, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13639 s, avg_samples: 8.0, ips: 58.65520 samples/s, eta: 0:39:53 [2024/03/06 22:55:02] ppocr INFO: epoch: [2/200], global_step: 52, lr: 0.000045, loss: 1.950981, avg_reader_cost: 0.00004 s, avg_batch_cost: 0.02020 s, avg_samples: 1.1, ips: 54.45978 samples/s, eta: 0:38:40 [2024/03/06 22:55:25] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 22:55:28] ppocr INFO: cur metric, precision: 0.3543356207111666, recall: 0.26604215456674474, hmean: 0.30390583199571963, fps: 77.54344015993176 [2024/03/06 22:55:54] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 22:55:54] ppocr INFO: best metric, hmean: 0.30390583199571963, precision: 0.3543356207111666, recall: 0.26604215456674474, fps: 77.54344015993176, best_epoch: 3 [2024/03/06 22:55:54] ppocr INFO: epoch: [3/200], global_step: 60, lr: 0.000050, loss: 1.555864, avg_reader_cost: 2.33933 s, avg_batch_cost: 2.45158 s, avg_samples: 6.4, ips: 2.61056 samples/s, eta: 1:08:28 [2024/03/06 22:55:57] ppocr INFO: epoch: [3/200], global_step: 70, lr: 0.000050, loss: 1.407395, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13648 s, avg_samples: 8.0, ips: 58.61809 samples/s, eta: 1:00:14 [2024/03/06 22:56:00] ppocr INFO: cur metric, precision: 0.48383561643835615, recall: 0.4135831381733021, hmean: 0.44595959595959594, fps: 77.68470027313003 [2024/03/06 22:56:30] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 22:56:30] ppocr INFO: best metric, hmean: 0.44595959595959594, precision: 0.48383561643835615, recall: 0.4135831381733021, fps: 77.68470027313003, best_epoch: 3 [2024/03/06 22:56:30] ppocr INFO: epoch: [3/200], global_step: 78, lr: 0.000050, loss: 1.197136, avg_reader_cost: 0.00019 s, avg_batch_cost: 0.10223 s, avg_samples: 5.9, ips: 57.71050 samples/s, eta: 0:55:05 [2024/03/06 22:56:50] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 22:56:51] ppocr INFO: epoch: [4/200], global_step: 80, lr: 0.000050, loss: 1.191613, avg_reader_cost: 2.04524 s, avg_batch_cost: 2.07415 s, avg_samples: 1.6, ips: 0.77140 samples/s, eta: 1:15:49 [2024/03/06 22:56:54] ppocr INFO: epoch: [4/200], global_step: 90, lr: 0.000050, loss: 0.961684, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13636 s, avg_samples: 8.0, ips: 58.66699 samples/s, eta: 1:08:33 [2024/03/06 22:56:56] ppocr INFO: cur metric, precision: 0.543859649122807, recall: 0.5517564402810304, hmean: 0.5477795861427576, fps: 78.07239321510606 [2024/03/06 22:57:22] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 22:57:22] ppocr INFO: best metric, hmean: 0.5477795861427576, precision: 0.543859649122807, recall: 0.5517564402810304, fps: 78.07239321510606, best_epoch: 4 [2024/03/06 22:57:23] ppocr INFO: epoch: [4/200], global_step: 100, lr: 0.000050, loss: 0.843813, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.13715 s, avg_samples: 8.0, ips: 58.33208 samples/s, eta: 1:02:44 [2024/03/06 22:57:24] ppocr INFO: epoch: [4/200], global_step: 104, lr: 0.000050, loss: 0.827914, avg_reader_cost: 0.00009 s, avg_batch_cost: 0.04680 s, avg_samples: 2.7, ips: 57.69384 samples/s, eta: 1:00:39 [2024/03/06 22:57:36] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 22:57:38] ppocr INFO: epoch: [5/200], global_step: 110, lr: 0.000049, loss: 0.740736, avg_reader_cost: 1.27117 s, avg_batch_cost: 1.35493 s, avg_samples: 4.8, ips: 3.54261 samples/s, eta: 1:07:44 [2024/03/06 22:57:41] ppocr INFO: cur metric, precision: 0.6444752658344891, recall: 0.652927400468384, hmean: 0.6486738017682643, fps: 78.1276227958994 [2024/03/06 22:58:10] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 22:58:10] ppocr INFO: best metric, hmean: 0.6486738017682643, precision: 0.6444752658344891, recall: 0.652927400468384, fps: 78.1276227958994, best_epoch: 5 [2024/03/06 22:58:12] ppocr INFO: epoch: [5/200], global_step: 120, lr: 0.000049, loss: 0.619404, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13858 s, avg_samples: 8.0, ips: 57.73001 samples/s, eta: 1:02:57 [2024/03/06 22:58:14] ppocr INFO: epoch: [5/200], global_step: 130, lr: 0.000049, loss: 0.582321, avg_reader_cost: 0.00026 s, avg_batch_cost: 0.12890 s, avg_samples: 7.5, ips: 58.18621 samples/s, eta: 0:58:49 [2024/03/06 22:58:27] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 22:58:30] ppocr INFO: cur metric, precision: 0.6693617021276596, recall: 0.736768149882904, hmean: 0.7014492753623188, fps: 78.59378415821052 [2024/03/06 22:58:55] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 22:58:55] ppocr INFO: best metric, hmean: 0.7014492753623188, precision: 0.6693617021276596, recall: 0.736768149882904, fps: 78.59378415821052, best_epoch: 6 [2024/03/06 22:58:57] ppocr INFO: epoch: [6/200], global_step: 140, lr: 0.000049, loss: 0.457800, avg_reader_cost: 1.29976 s, avg_batch_cost: 1.43982 s, avg_samples: 8.0, ips: 5.55626 samples/s, eta: 1:03:11 [2024/03/06 22:59:00] ppocr INFO: epoch: [6/200], global_step: 150, lr: 0.000049, loss: 0.403150, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13621 s, avg_samples: 8.0, ips: 58.73181 samples/s, eta: 0:59:37 [2024/03/06 22:59:02] ppocr INFO: cur metric, precision: 0.7175572519083969, recall: 0.7925058548009367, hmean: 0.7531716002670821, fps: 78.17263331934808 [2024/03/06 22:59:31] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 22:59:31] ppocr INFO: best metric, hmean: 0.7531716002670821, precision: 0.7175572519083969, recall: 0.7925058548009367, fps: 78.17263331934808, best_epoch: 6 [2024/03/06 22:59:32] ppocr INFO: epoch: [6/200], global_step: 156, lr: 0.000049, loss: 0.381371, avg_reader_cost: 0.00017 s, avg_batch_cost: 0.07537 s, avg_samples: 4.3, ips: 57.04906 samples/s, eta: 0:57:40 [2024/03/06 22:59:44] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 22:59:46] ppocr INFO: epoch: [7/200], global_step: 160, lr: 0.000049, loss: 0.374406, avg_reader_cost: 1.29768 s, avg_batch_cost: 1.35434 s, avg_samples: 3.2, ips: 2.36278 samples/s, eta: 1:03:17 [2024/03/06 22:59:49] ppocr INFO: epoch: [7/200], global_step: 170, lr: 0.000049, loss: 0.290833, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13725 s, avg_samples: 8.0, ips: 58.28776 samples/s, eta: 1:00:07 [2024/03/06 22:59:50] ppocr INFO: cur metric, precision: 0.7598081952920662, recall: 0.8163934426229508, hmean: 0.7870851207947618, fps: 78.60530569221422 [2024/03/06 23:00:16] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:00:16] ppocr INFO: best metric, hmean: 0.7870851207947618, precision: 0.7598081952920662, recall: 0.8163934426229508, fps: 78.60530569221422, best_epoch: 7 [2024/03/06 23:00:19] ppocr INFO: epoch: [7/200], global_step: 180, lr: 0.000049, loss: 0.275456, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13768 s, avg_samples: 8.0, ips: 58.10679 samples/s, eta: 0:57:19 [2024/03/06 23:00:19] ppocr INFO: epoch: [7/200], global_step: 182, lr: 0.000049, loss: 0.284817, avg_reader_cost: 0.00004 s, avg_batch_cost: 0.01954 s, avg_samples: 1.1, ips: 56.29753 samples/s, eta: 0:56:45 [2024/03/06 23:00:32] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:00:34] ppocr INFO: epoch: [8/200], global_step: 190, lr: 0.000049, loss: 0.264570, avg_reader_cost: 1.29741 s, avg_batch_cost: 1.40910 s, avg_samples: 6.4, ips: 4.54191 samples/s, eta: 1:00:28 [2024/03/06 23:00:36] ppocr INFO: cur metric, precision: 0.7882249560632689, recall: 0.8402810304449648, hmean: 0.8134209929721151, fps: 78.0790786567053 [2024/03/06 23:01:02] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:01:02] ppocr INFO: best metric, hmean: 0.8134209929721151, precision: 0.7882249560632689, recall: 0.8402810304449648, fps: 78.0790786567053, best_epoch: 8 [2024/03/06 23:01:04] ppocr INFO: epoch: [8/200], global_step: 200, lr: 0.000049, loss: 0.200303, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13854 s, avg_samples: 8.0, ips: 57.74308 samples/s, eta: 0:57:54 [2024/03/06 23:01:06] ppocr INFO: epoch: [8/200], global_step: 208, lr: 0.000049, loss: 0.225402, avg_reader_cost: 0.00018 s, avg_batch_cost: 0.10136 s, avg_samples: 5.9, ips: 58.20881 samples/s, eta: 0:56:00 [2024/03/06 23:01:19] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:01:21] ppocr INFO: cur metric, precision: 0.7751402675873975, recall: 0.8412177985948478, hmean: 0.8068283917340521, fps: 78.61110046730919 [2024/03/06 23:01:21] ppocr INFO: best metric, hmean: 0.8134209929721151, precision: 0.7882249560632689, recall: 0.8402810304449648, fps: 78.0790786567053, best_epoch: 8 [2024/03/06 23:01:22] ppocr INFO: epoch: [9/200], global_step: 210, lr: 0.000049, loss: 0.234468, avg_reader_cost: 1.31479 s, avg_batch_cost: 1.34422 s, avg_samples: 1.6, ips: 1.19028 samples/s, eta: 1:00:46 [2024/03/06 23:01:24] ppocr INFO: epoch: [9/200], global_step: 220, lr: 0.000048, loss: 0.185948, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13677 s, avg_samples: 8.0, ips: 58.49402 samples/s, eta: 0:58:24 [2024/03/06 23:01:28] ppocr INFO: cur metric, precision: 0.8023412877082395, recall: 0.8346604215456674, hmean: 0.8181818181818182, fps: 78.39771714817977 [2024/03/06 23:01:54] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:01:54] ppocr INFO: best metric, hmean: 0.8181818181818182, precision: 0.8023412877082395, recall: 0.8346604215456674, fps: 78.39771714817977, best_epoch: 9 [2024/03/06 23:01:54] ppocr INFO: epoch: [9/200], global_step: 230, lr: 0.000048, loss: 0.182885, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13706 s, avg_samples: 8.0, ips: 58.36797 samples/s, eta: 0:56:14 [2024/03/06 23:01:55] ppocr INFO: epoch: [9/200], global_step: 234, lr: 0.000048, loss: 0.196199, avg_reader_cost: 0.00009 s, avg_batch_cost: 0.04721 s, avg_samples: 2.7, ips: 57.19517 samples/s, eta: 0:55:24 [2024/03/06 23:02:08] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:02:10] ppocr INFO: epoch: [10/200], global_step: 240, lr: 0.000048, loss: 0.166728, avg_reader_cost: 1.31111 s, avg_batch_cost: 1.39355 s, avg_samples: 4.8, ips: 3.44443 samples/s, eta: 0:58:45 [2024/03/06 23:02:13] ppocr INFO: cur metric, precision: 0.8178970917225951, recall: 0.8562060889929742, hmean: 0.8366132723112129, fps: 78.29488562756437 [2024/03/06 23:02:38] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:02:38] ppocr INFO: best metric, hmean: 0.8366132723112129, precision: 0.8178970917225951, recall: 0.8562060889929742, fps: 78.29488562756437, best_epoch: 10 [2024/03/06 23:02:39] ppocr INFO: epoch: [10/200], global_step: 250, lr: 0.000048, loss: 0.153087, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13788 s, avg_samples: 8.0, ips: 58.01943 samples/s, eta: 0:56:44 [2024/03/06 23:02:42] ppocr INFO: epoch: [10/200], global_step: 260, lr: 0.000048, loss: 0.138531, avg_reader_cost: 0.00026 s, avg_batch_cost: 0.12788 s, avg_samples: 7.5, ips: 58.64954 samples/s, eta: 0:54:51 [2024/03/06 23:03:03] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:03:07] ppocr INFO: cur metric, precision: 0.8009602793539939, recall: 0.8594847775175644, hmean: 0.8291911432444645, fps: 77.92177424015985 [2024/03/06 23:03:07] ppocr INFO: best metric, hmean: 0.8366132723112129, precision: 0.8178970917225951, recall: 0.8562060889929742, fps: 78.29488562756437, best_epoch: 10 [2024/03/06 23:03:08] ppocr INFO: epoch: [11/200], global_step: 270, lr: 0.000048, loss: 0.114694, avg_reader_cost: 2.20610 s, avg_batch_cost: 2.34374 s, avg_samples: 8.0, ips: 3.41335 samples/s, eta: 0:59:51 [2024/03/06 23:03:11] ppocr INFO: epoch: [11/200], global_step: 280, lr: 0.000048, loss: 0.111050, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13659 s, avg_samples: 8.0, ips: 58.56789 samples/s, eta: 0:58:00 [2024/03/06 23:03:13] ppocr INFO: cur metric, precision: 0.8122251539138082, recall: 0.8651053864168619, hmean: 0.8378317078702654, fps: 78.04740561736841 [2024/03/06 23:03:40] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:03:40] ppocr INFO: best metric, hmean: 0.8378317078702654, precision: 0.8122251539138082, recall: 0.8651053864168619, fps: 78.04740561736841, best_epoch: 11 [2024/03/06 23:03:40] ppocr INFO: epoch: [11/200], global_step: 286, lr: 0.000048, loss: 0.108313, avg_reader_cost: 0.00015 s, avg_batch_cost: 0.07463 s, avg_samples: 4.3, ips: 57.61627 samples/s, eta: 0:56:55 [2024/03/06 23:03:55] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:03:57] ppocr INFO: epoch: [12/200], global_step: 290, lr: 0.000048, loss: 0.108095, avg_reader_cost: 1.57390 s, avg_batch_cost: 1.63126 s, avg_samples: 3.2, ips: 1.96168 samples/s, eta: 1:00:42 [2024/03/06 23:04:00] ppocr INFO: epoch: [12/200], global_step: 300, lr: 0.000048, loss: 0.095325, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13718 s, avg_samples: 8.0, ips: 58.31729 samples/s, eta: 0:58:55 [2024/03/06 23:04:02] ppocr INFO: cur metric, precision: 0.8329591378536148, recall: 0.8688524590163934, hmean: 0.8505272810637321, fps: 77.4863927285566 [2024/03/06 23:04:35] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:04:35] ppocr INFO: best metric, hmean: 0.8505272810637321, precision: 0.8329591378536148, recall: 0.8688524590163934, fps: 77.4863927285566, best_epoch: 12 [2024/03/06 23:04:37] ppocr INFO: epoch: [12/200], global_step: 310, lr: 0.000048, loss: 0.096079, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13746 s, avg_samples: 8.0, ips: 58.19999 samples/s, eta: 0:57:16 [2024/03/06 23:04:37] ppocr INFO: epoch: [12/200], global_step: 312, lr: 0.000048, loss: 0.100637, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01973 s, avg_samples: 1.1, ips: 55.74237 samples/s, eta: 0:56:56 [2024/03/06 23:04:50] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:04:53] ppocr INFO: epoch: [13/200], global_step: 320, lr: 0.000047, loss: 0.085507, avg_reader_cost: 1.30082 s, avg_batch_cost: 1.41132 s, avg_samples: 6.4, ips: 4.53478 samples/s, eta: 0:59:00 [2024/03/06 23:04:55] ppocr INFO: cur metric, precision: 0.8166739415102575, recall: 0.8763466042154566, hmean: 0.8454586534116584, fps: 77.21889743677862 [2024/03/06 23:04:55] ppocr INFO: best metric, hmean: 0.8505272810637321, precision: 0.8329591378536148, recall: 0.8688524590163934, fps: 77.4863927285566, best_epoch: 12 [2024/03/06 23:04:57] ppocr INFO: epoch: [13/200], global_step: 330, lr: 0.000047, loss: 0.079713, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13767 s, avg_samples: 8.0, ips: 58.10909 samples/s, eta: 0:57:26 [2024/03/06 23:04:59] ppocr INFO: epoch: [13/200], global_step: 338, lr: 0.000047, loss: 0.092047, avg_reader_cost: 0.00023 s, avg_batch_cost: 0.10156 s, avg_samples: 5.9, ips: 58.09103 samples/s, eta: 0:56:14 [2024/03/06 23:05:12] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:05:13] ppocr INFO: epoch: [14/200], global_step: 340, lr: 0.000047, loss: 0.090405, avg_reader_cost: 1.33253 s, avg_batch_cost: 1.36266 s, avg_samples: 1.6, ips: 1.17418 samples/s, eta: 0:59:07 [2024/03/06 23:05:14] ppocr INFO: cur metric, precision: 0.8126094570928196, recall: 0.869320843091335, hmean: 0.8400090518216791, fps: 78.00292598255982 [2024/03/06 23:05:14] ppocr INFO: best metric, hmean: 0.8505272810637321, precision: 0.8329591378536148, recall: 0.8688524590163934, fps: 77.4863927285566, best_epoch: 12 [2024/03/06 23:05:17] ppocr INFO: epoch: [14/200], global_step: 350, lr: 0.000047, loss: 0.070371, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13716 s, avg_samples: 8.0, ips: 58.32771 samples/s, eta: 0:57:38 [2024/03/06 23:05:19] ppocr INFO: epoch: [14/200], global_step: 360, lr: 0.000047, loss: 0.082630, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13770 s, avg_samples: 8.0, ips: 58.09616 samples/s, eta: 0:56:13 [2024/03/06 23:05:21] ppocr INFO: cur metric, precision: 0.8194627917217085, recall: 0.8716627634660421, hmean: 0.8447571493418066, fps: 77.7985348242024 [2024/03/06 23:05:21] ppocr INFO: best metric, hmean: 0.8505272810637321, precision: 0.8329591378536148, recall: 0.8688524590163934, fps: 77.4863927285566, best_epoch: 12 [2024/03/06 23:05:22] ppocr INFO: epoch: [14/200], global_step: 364, lr: 0.000047, loss: 0.082630, avg_reader_cost: 0.00009 s, avg_batch_cost: 0.04669 s, avg_samples: 2.7, ips: 57.82969 samples/s, eta: 0:55:40 [2024/03/06 23:05:34] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:05:36] ppocr INFO: epoch: [15/200], global_step: 370, lr: 0.000047, loss: 0.074654, avg_reader_cost: 1.31207 s, avg_batch_cost: 1.39491 s, avg_samples: 4.8, ips: 3.44109 samples/s, eta: 0:57:43 [2024/03/06 23:05:39] ppocr INFO: epoch: [15/200], global_step: 380, lr: 0.000047, loss: 0.051584, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13721 s, avg_samples: 8.0, ips: 58.30644 samples/s, eta: 0:56:23 [2024/03/06 23:05:41] ppocr INFO: cur metric, precision: 0.8181818181818182, recall: 0.868384074941452, hmean: 0.8425357873210634, fps: 78.57745686109288 [2024/03/06 23:05:41] ppocr INFO: best metric, hmean: 0.8505272810637321, precision: 0.8329591378536148, recall: 0.8688524590163934, fps: 77.4863927285566, best_epoch: 12 [2024/03/06 23:05:43] ppocr INFO: epoch: [15/200], global_step: 390, lr: 0.000047, loss: 0.055779, avg_reader_cost: 0.00025 s, avg_batch_cost: 0.12835 s, avg_samples: 7.5, ips: 58.43563 samples/s, eta: 0:55:05 [2024/03/06 23:05:56] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:06:00] ppocr INFO: cur metric, precision: 0.8247422680412371, recall: 0.8618266978922716, hmean: 0.8428767750801649, fps: 78.2514212177697 [2024/03/06 23:06:00] ppocr INFO: best metric, hmean: 0.8505272810637321, precision: 0.8329591378536148, recall: 0.8688524590163934, fps: 77.4863927285566, best_epoch: 12 [2024/03/06 23:06:01] ppocr INFO: epoch: [16/200], global_step: 400, lr: 0.000047, loss: 0.043005, avg_reader_cost: 1.33596 s, avg_batch_cost: 1.47603 s, avg_samples: 8.0, ips: 5.41993 samples/s, eta: 0:56:33 [2024/03/06 23:06:03] ppocr INFO: epoch: [16/200], global_step: 410, lr: 0.000047, loss: 0.051269, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13679 s, avg_samples: 8.0, ips: 58.48547 samples/s, eta: 0:55:19 [2024/03/06 23:06:05] ppocr INFO: epoch: [16/200], global_step: 416, lr: 0.000047, loss: 0.052700, avg_reader_cost: 0.00015 s, avg_batch_cost: 0.07468 s, avg_samples: 4.3, ips: 57.57945 samples/s, eta: 0:54:36 [2024/03/06 23:06:19] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:06:22] ppocr INFO: cur metric, precision: 0.8280054029716344, recall: 0.8613583138173302, hmean: 0.8443526170798897, fps: 77.42364849676184 [2024/03/06 23:06:22] ppocr INFO: best metric, hmean: 0.8505272810637321, precision: 0.8329591378536148, recall: 0.8688524590163934, fps: 77.4863927285566, best_epoch: 12 [2024/03/06 23:06:23] ppocr INFO: epoch: [17/200], global_step: 420, lr: 0.000047, loss: 0.045598, avg_reader_cost: 1.49171 s, avg_batch_cost: 1.54793 s, avg_samples: 3.2, ips: 2.06727 samples/s, eta: 0:56:58 [2024/03/06 23:06:25] ppocr INFO: epoch: [17/200], global_step: 430, lr: 0.000046, loss: 0.038486, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13692 s, avg_samples: 8.0, ips: 58.43013 samples/s, eta: 0:55:47 [2024/03/06 23:06:29] ppocr INFO: cur metric, precision: 0.8320712694877506, recall: 0.8749414519906323, hmean: 0.8529680365296802, fps: 77.27346346552076 [2024/03/06 23:06:55] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:06:55] ppocr INFO: best metric, hmean: 0.8529680365296802, precision: 0.8320712694877506, recall: 0.8749414519906323, fps: 77.27346346552076, best_epoch: 17 [2024/03/06 23:06:55] ppocr INFO: epoch: [17/200], global_step: 440, lr: 0.000046, loss: 0.041229, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13772 s, avg_samples: 8.0, ips: 58.09007 samples/s, eta: 0:54:39 [2024/03/06 23:06:56] ppocr INFO: epoch: [17/200], global_step: 442, lr: 0.000046, loss: 0.045387, avg_reader_cost: 0.00004 s, avg_batch_cost: 0.01966 s, avg_samples: 1.1, ips: 55.95295 samples/s, eta: 0:54:24 [2024/03/06 23:07:08] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:07:11] ppocr INFO: epoch: [18/200], global_step: 450, lr: 0.000046, loss: 0.035711, avg_reader_cost: 1.33129 s, avg_batch_cost: 1.44402 s, avg_samples: 6.4, ips: 4.43208 samples/s, eta: 0:55:53 [2024/03/06 23:07:14] ppocr INFO: cur metric, precision: 0.8441734417344173, recall: 0.8754098360655738, hmean: 0.8595079328581283, fps: 77.73723728052653 [2024/03/06 23:07:41] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:07:41] ppocr INFO: best metric, hmean: 0.8595079328581283, precision: 0.8441734417344173, recall: 0.8754098360655738, fps: 77.73723728052653, best_epoch: 18 [2024/03/06 23:07:42] ppocr INFO: epoch: [18/200], global_step: 460, lr: 0.000046, loss: 0.032554, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13778 s, avg_samples: 8.0, ips: 58.06380 samples/s, eta: 0:54:48 [2024/03/06 23:07:44] ppocr INFO: epoch: [18/200], global_step: 468, lr: 0.000046, loss: 0.038184, avg_reader_cost: 0.00017 s, avg_batch_cost: 0.10070 s, avg_samples: 5.9, ips: 58.58982 samples/s, eta: 0:53:56 [2024/03/06 23:07:57] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:07:58] ppocr INFO: epoch: [19/200], global_step: 470, lr: 0.000046, loss: 0.033822, avg_reader_cost: 1.34581 s, avg_batch_cost: 1.37421 s, avg_samples: 1.6, ips: 1.16431 samples/s, eta: 0:56:00 [2024/03/06 23:08:01] ppocr INFO: cur metric, precision: 0.8374384236453202, recall: 0.8758782201405152, hmean: 0.8562271062271063, fps: 78.26897645631823 [2024/03/06 23:08:01] ppocr INFO: best metric, hmean: 0.8595079328581283, precision: 0.8441734417344173, recall: 0.8754098360655738, fps: 77.73723728052653, best_epoch: 18 [2024/03/06 23:08:02] ppocr INFO: epoch: [19/200], global_step: 480, lr: 0.000046, loss: 0.028825, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13669 s, avg_samples: 8.0, ips: 58.52826 samples/s, eta: 0:54:56 [2024/03/06 23:08:05] ppocr INFO: epoch: [19/200], global_step: 490, lr: 0.000046, loss: 0.027953, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13640 s, avg_samples: 8.0, ips: 58.65011 samples/s, eta: 0:53:55 [2024/03/06 23:08:06] ppocr INFO: epoch: [19/200], global_step: 494, lr: 0.000046, loss: 0.027953, avg_reader_cost: 0.00011 s, avg_batch_cost: 0.04668 s, avg_samples: 2.7, ips: 57.83879 samples/s, eta: 0:53:31 [2024/03/06 23:08:08] ppocr INFO: cur metric, precision: 0.8355795148247979, recall: 0.8711943793911007, hmean: 0.8530153634487503, fps: 78.34337338145473 [2024/03/06 23:08:08] ppocr INFO: best metric, hmean: 0.8595079328581283, precision: 0.8441734417344173, recall: 0.8754098360655738, fps: 77.73723728052653, best_epoch: 18 [2024/03/06 23:08:24] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:08:26] ppocr INFO: epoch: [20/200], global_step: 500, lr: 0.000046, loss: 0.036897, avg_reader_cost: 1.70845 s, avg_batch_cost: 1.79338 s, avg_samples: 4.8, ips: 2.67651 samples/s, eta: 0:55:37 [2024/03/06 23:08:29] ppocr INFO: epoch: [20/200], global_step: 510, lr: 0.000046, loss: 0.031036, avg_reader_cost: 0.00026 s, avg_batch_cost: 0.13658 s, avg_samples: 8.0, ips: 58.57585 samples/s, eta: 0:54:37 [2024/03/06 23:08:31] ppocr INFO: cur metric, precision: 0.8222811671087533, recall: 0.8711943793911007, hmean: 0.8460313850352512, fps: 77.60503859617961 [2024/03/06 23:08:31] ppocr INFO: best metric, hmean: 0.8595079328581283, precision: 0.8441734417344173, recall: 0.8754098360655738, fps: 77.73723728052653, best_epoch: 18 [2024/03/06 23:08:33] ppocr INFO: epoch: [20/200], global_step: 520, lr: 0.000046, loss: 0.029316, avg_reader_cost: 0.00025 s, avg_batch_cost: 0.12854 s, avg_samples: 7.5, ips: 58.34634 samples/s, eta: 0:53:38 [2024/03/06 23:08:45] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:08:49] ppocr INFO: epoch: [21/200], global_step: 530, lr: 0.000045, loss: 0.024725, avg_reader_cost: 1.28500 s, avg_batch_cost: 1.42364 s, avg_samples: 8.0, ips: 5.61939 samples/s, eta: 0:54:36 [2024/03/06 23:08:51] ppocr INFO: cur metric, precision: 0.8346702317290553, recall: 0.8772833723653396, hmean: 0.8554464489609501, fps: 77.38371554310632 [2024/03/06 23:08:51] ppocr INFO: best metric, hmean: 0.8595079328581283, precision: 0.8441734417344173, recall: 0.8754098360655738, fps: 77.73723728052653, best_epoch: 18 [2024/03/06 23:08:53] ppocr INFO: epoch: [21/200], global_step: 540, lr: 0.000045, loss: 0.026689, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13738 s, avg_samples: 8.0, ips: 58.23289 samples/s, eta: 0:53:41 [2024/03/06 23:08:54] ppocr INFO: epoch: [21/200], global_step: 546, lr: 0.000045, loss: 0.022863, avg_reader_cost: 0.00015 s, avg_batch_cost: 0.07415 s, avg_samples: 4.3, ips: 57.99006 samples/s, eta: 0:53:07 [2024/03/06 23:09:07] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:09:08] ppocr INFO: epoch: [22/200], global_step: 550, lr: 0.000045, loss: 0.027946, avg_reader_cost: 1.28207 s, avg_batch_cost: 1.34036 s, avg_samples: 3.2, ips: 2.38741 samples/s, eta: 0:54:35 [2024/03/06 23:09:10] ppocr INFO: cur metric, precision: 0.8261061946902655, recall: 0.8744730679156909, hmean: 0.8496018202502844, fps: 78.01608073767036 [2024/03/06 23:09:10] ppocr INFO: best metric, hmean: 0.8595079328581283, precision: 0.8441734417344173, recall: 0.8754098360655738, fps: 77.73723728052653, best_epoch: 18 [2024/03/06 23:09:12] ppocr INFO: epoch: [22/200], global_step: 560, lr: 0.000045, loss: 0.018681, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13704 s, avg_samples: 8.0, ips: 58.37687 samples/s, eta: 0:53:41 [2024/03/06 23:09:15] ppocr INFO: epoch: [22/200], global_step: 570, lr: 0.000045, loss: 0.022279, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.13647 s, avg_samples: 8.0, ips: 58.62018 samples/s, eta: 0:52:49 [2024/03/06 23:09:17] ppocr INFO: cur metric, precision: 0.8398560503823662, recall: 0.8744730679156909, hmean: 0.856815052776503, fps: 78.1416931253294 [2024/03/06 23:09:17] ppocr INFO: best metric, hmean: 0.8595079328581283, precision: 0.8441734417344173, recall: 0.8754098360655738, fps: 77.73723728052653, best_epoch: 18 [2024/03/06 23:09:17] ppocr INFO: epoch: [22/200], global_step: 572, lr: 0.000045, loss: 0.018980, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01992 s, avg_samples: 1.1, ips: 55.22567 samples/s, eta: 0:52:38 [2024/03/06 23:09:29] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:09:32] ppocr INFO: epoch: [23/200], global_step: 580, lr: 0.000045, loss: 0.021763, avg_reader_cost: 1.26906 s, avg_batch_cost: 1.38050 s, avg_samples: 6.4, ips: 4.63600 samples/s, eta: 0:53:39 [2024/03/06 23:09:36] ppocr INFO: cur metric, precision: 0.826526130873957, recall: 0.8814988290398127, hmean: 0.8531278331822302, fps: 78.5888754398522 [2024/03/06 23:09:36] ppocr INFO: best metric, hmean: 0.8595079328581283, precision: 0.8441734417344173, recall: 0.8754098360655738, fps: 77.73723728052653, best_epoch: 18 [2024/03/06 23:09:36] ppocr INFO: epoch: [23/200], global_step: 590, lr: 0.000045, loss: 0.017926, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13683 s, avg_samples: 8.0, ips: 58.46515 samples/s, eta: 0:52:48 [2024/03/06 23:09:38] ppocr INFO: epoch: [23/200], global_step: 598, lr: 0.000045, loss: 0.015939, avg_reader_cost: 0.00022 s, avg_batch_cost: 0.10160 s, avg_samples: 5.9, ips: 58.06954 samples/s, eta: 0:52:08 [2024/03/06 23:09:51] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:09:52] ppocr INFO: epoch: [24/200], global_step: 600, lr: 0.000045, loss: 0.017254, avg_reader_cost: 1.32671 s, avg_batch_cost: 1.35691 s, avg_samples: 1.6, ips: 1.17915 samples/s, eta: 0:53:40 [2024/03/06 23:09:55] ppocr INFO: cur metric, precision: 0.853988283010365, recall: 0.8875878220140515, hmean: 0.870463941203491, fps: 78.52655534591325 [2024/03/06 23:10:20] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:10:20] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:10:21] ppocr INFO: epoch: [24/200], global_step: 610, lr: 0.000045, loss: 0.017976, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13810 s, avg_samples: 8.0, ips: 57.92926 samples/s, eta: 0:52:51 [2024/03/06 23:10:24] ppocr INFO: epoch: [24/200], global_step: 620, lr: 0.000045, loss: 0.018488, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13746 s, avg_samples: 8.0, ips: 58.19958 samples/s, eta: 0:52:03 [2024/03/06 23:10:25] ppocr INFO: epoch: [24/200], global_step: 624, lr: 0.000045, loss: 0.018362, avg_reader_cost: 0.00012 s, avg_batch_cost: 0.04693 s, avg_samples: 2.7, ips: 57.53349 samples/s, eta: 0:51:44 [2024/03/06 23:10:37] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:10:40] ppocr INFO: cur metric, precision: 0.8322295805739515, recall: 0.882903981264637, hmean: 0.8568181818181818, fps: 78.20913927701258 [2024/03/06 23:10:40] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:10:41] ppocr INFO: epoch: [25/200], global_step: 630, lr: 0.000044, loss: 0.017094, avg_reader_cost: 1.32510 s, avg_batch_cost: 1.41009 s, avg_samples: 4.8, ips: 3.40404 samples/s, eta: 0:52:53 [2024/03/06 23:10:44] ppocr INFO: epoch: [25/200], global_step: 640, lr: 0.000044, loss: 0.017840, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13691 s, avg_samples: 8.0, ips: 58.43216 samples/s, eta: 0:52:06 [2024/03/06 23:10:47] ppocr INFO: cur metric, precision: 0.8406642728904847, recall: 0.8772833723653396, hmean: 0.8585835434334174, fps: 76.62813546440438 [2024/03/06 23:10:47] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:10:48] ppocr INFO: epoch: [25/200], global_step: 650, lr: 0.000044, loss: 0.014743, avg_reader_cost: 0.00026 s, avg_batch_cost: 0.12874 s, avg_samples: 7.5, ips: 58.25613 samples/s, eta: 0:51:20 [2024/03/06 23:11:00] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:11:03] ppocr INFO: epoch: [26/200], global_step: 660, lr: 0.000044, loss: 0.015201, avg_reader_cost: 1.29251 s, avg_batch_cost: 1.43133 s, avg_samples: 8.0, ips: 5.58919 samples/s, eta: 0:52:05 [2024/03/06 23:11:06] ppocr INFO: cur metric, precision: 0.8505224897773739, recall: 0.8768149882903982, hmean: 0.8634686346863469, fps: 77.28007605842447 [2024/03/06 23:11:06] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:11:07] ppocr INFO: epoch: [26/200], global_step: 670, lr: 0.000044, loss: 0.013048, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13643 s, avg_samples: 8.0, ips: 58.63958 samples/s, eta: 0:51:21 [2024/03/06 23:11:09] ppocr INFO: epoch: [26/200], global_step: 676, lr: 0.000044, loss: 0.015740, avg_reader_cost: 0.00014 s, avg_batch_cost: 0.07423 s, avg_samples: 4.3, ips: 57.92555 samples/s, eta: 0:50:55 [2024/03/06 23:11:22] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:11:23] ppocr INFO: epoch: [27/200], global_step: 680, lr: 0.000044, loss: 0.014539, avg_reader_cost: 1.34223 s, avg_batch_cost: 1.40009 s, avg_samples: 3.2, ips: 2.28557 samples/s, eta: 0:52:07 [2024/03/06 23:11:26] ppocr INFO: cur metric, precision: 0.8411131059245961, recall: 0.877751756440281, hmean: 0.8590419436167773, fps: 78.26229090829177 [2024/03/06 23:11:26] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:11:27] ppocr INFO: epoch: [27/200], global_step: 690, lr: 0.000044, loss: 0.018255, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.13678 s, avg_samples: 8.0, ips: 58.48950 samples/s, eta: 0:51:24 [2024/03/06 23:11:30] ppocr INFO: epoch: [27/200], global_step: 700, lr: 0.000044, loss: 0.011274, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.13631 s, avg_samples: 8.0, ips: 58.69153 samples/s, eta: 0:50:42 [2024/03/06 23:11:30] ppocr INFO: epoch: [27/200], global_step: 702, lr: 0.000044, loss: 0.012782, avg_reader_cost: 0.00004 s, avg_batch_cost: 0.01958 s, avg_samples: 1.1, ips: 56.18160 samples/s, eta: 0:50:33 [2024/03/06 23:11:43] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:11:45] ppocr INFO: cur metric, precision: 0.8217257993867718, recall: 0.8786885245901639, hmean: 0.8492530556813037, fps: 77.62738102974164 [2024/03/06 23:11:45] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:11:47] ppocr INFO: epoch: [28/200], global_step: 710, lr: 0.000044, loss: 0.012541, avg_reader_cost: 1.30546 s, avg_batch_cost: 1.41653 s, avg_samples: 6.4, ips: 4.51807 samples/s, eta: 0:51:23 [2024/03/06 23:11:50] ppocr INFO: epoch: [28/200], global_step: 720, lr: 0.000044, loss: 0.013516, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13770 s, avg_samples: 8.0, ips: 58.09845 samples/s, eta: 0:50:42 [2024/03/06 23:11:52] ppocr INFO: cur metric, precision: 0.8322953736654805, recall: 0.8763466042154566, hmean: 0.8537531371206935, fps: 77.93837727484448 [2024/03/06 23:11:52] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:11:53] ppocr INFO: epoch: [28/200], global_step: 728, lr: 0.000044, loss: 0.011428, avg_reader_cost: 0.00021 s, avg_batch_cost: 0.10120 s, avg_samples: 5.9, ips: 58.29807 samples/s, eta: 0:50:09 [2024/03/06 23:12:06] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:12:07] ppocr INFO: epoch: [29/200], global_step: 730, lr: 0.000044, loss: 0.011428, avg_reader_cost: 1.31106 s, avg_batch_cost: 1.34071 s, avg_samples: 1.6, ips: 1.19340 samples/s, eta: 0:51:22 [2024/03/06 23:12:10] ppocr INFO: epoch: [29/200], global_step: 740, lr: 0.000043, loss: 0.013873, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13671 s, avg_samples: 8.0, ips: 58.51736 samples/s, eta: 0:50:42 [2024/03/06 23:12:11] ppocr INFO: cur metric, precision: 0.8440909090909091, recall: 0.8697892271662764, hmean: 0.8567474048442907, fps: 78.01601624275511 [2024/03/06 23:12:11] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:12:14] ppocr INFO: epoch: [29/200], global_step: 750, lr: 0.000043, loss: 0.022702, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.13640 s, avg_samples: 8.0, ips: 58.65224 samples/s, eta: 0:50:02 [2024/03/06 23:12:15] ppocr INFO: epoch: [29/200], global_step: 754, lr: 0.000043, loss: 0.022386, avg_reader_cost: 0.00009 s, avg_batch_cost: 0.04679 s, avg_samples: 2.7, ips: 57.70772 samples/s, eta: 0:49:47 [2024/03/06 23:12:27] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:12:29] ppocr INFO: epoch: [30/200], global_step: 760, lr: 0.000043, loss: 0.026630, avg_reader_cost: 1.26586 s, avg_batch_cost: 1.34942 s, avg_samples: 4.8, ips: 3.55708 samples/s, eta: 0:50:38 [2024/03/06 23:12:30] ppocr INFO: cur metric, precision: 0.842671447781264, recall: 0.8805620608899297, hmean: 0.8612001832340817, fps: 77.91672394511671 [2024/03/06 23:12:30] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:12:33] ppocr INFO: epoch: [30/200], global_step: 770, lr: 0.000043, loss: 0.030208, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13722 s, avg_samples: 8.0, ips: 58.29888 samples/s, eta: 0:50:00 [2024/03/06 23:12:37] ppocr INFO: cur metric, precision: 0.8112554112554112, recall: 0.877751756440281, hmean: 0.8431946006749157, fps: 77.72523261727638 [2024/03/06 23:12:37] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:12:37] ppocr INFO: epoch: [30/200], global_step: 780, lr: 0.000043, loss: 0.029755, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.12952 s, avg_samples: 7.5, ips: 57.90530 samples/s, eta: 0:49:22 [2024/03/06 23:12:49] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:12:52] ppocr INFO: epoch: [31/200], global_step: 790, lr: 0.000043, loss: 0.034377, avg_reader_cost: 1.25460 s, avg_batch_cost: 1.39298 s, avg_samples: 8.0, ips: 5.74309 samples/s, eta: 0:49:55 [2024/03/06 23:12:56] ppocr INFO: cur metric, precision: 0.8328853046594982, recall: 0.8707259953161592, hmean: 0.8513853904282116, fps: 78.13247406121982 [2024/03/06 23:12:56] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:12:56] ppocr INFO: epoch: [31/200], global_step: 800, lr: 0.000043, loss: 0.056209, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13644 s, avg_samples: 8.0, ips: 58.63357 samples/s, eta: 0:49:19 [2024/03/06 23:12:58] ppocr INFO: epoch: [31/200], global_step: 806, lr: 0.000043, loss: 0.045362, avg_reader_cost: 0.00014 s, avg_batch_cost: 0.07426 s, avg_samples: 4.3, ips: 57.90422 samples/s, eta: 0:48:57 [2024/03/06 23:13:10] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:13:12] ppocr INFO: epoch: [32/200], global_step: 810, lr: 0.000043, loss: 0.035271, avg_reader_cost: 1.26926 s, avg_batch_cost: 1.32624 s, avg_samples: 3.2, ips: 2.41283 samples/s, eta: 0:49:51 [2024/03/06 23:13:15] ppocr INFO: cur metric, precision: 0.8234507356219349, recall: 0.8651053864168619, hmean: 0.84376427592508, fps: 78.63248632373839 [2024/03/06 23:13:15] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:13:16] ppocr INFO: epoch: [32/200], global_step: 820, lr: 0.000043, loss: 0.028209, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13732 s, avg_samples: 8.0, ips: 58.25799 samples/s, eta: 0:49:16 [2024/03/06 23:13:19] ppocr INFO: epoch: [32/200], global_step: 830, lr: 0.000043, loss: 0.023801, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13732 s, avg_samples: 8.0, ips: 58.25900 samples/s, eta: 0:48:41 [2024/03/06 23:13:19] ppocr INFO: epoch: [32/200], global_step: 832, lr: 0.000043, loss: 0.023838, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.02054 s, avg_samples: 1.1, ips: 53.55603 samples/s, eta: 0:48:33 [2024/03/06 23:13:31] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:13:34] ppocr INFO: cur metric, precision: 0.8267611874169252, recall: 0.8740046838407494, hmean: 0.8497267759562842, fps: 78.03604703901685 [2024/03/06 23:13:34] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:13:35] ppocr INFO: epoch: [33/200], global_step: 840, lr: 0.000042, loss: 0.019642, avg_reader_cost: 1.27116 s, avg_batch_cost: 1.38315 s, avg_samples: 6.4, ips: 4.62711 samples/s, eta: 0:49:12 [2024/03/06 23:13:38] ppocr INFO: epoch: [33/200], global_step: 850, lr: 0.000042, loss: 0.018849, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13729 s, avg_samples: 8.0, ips: 58.26901 samples/s, eta: 0:48:38 [2024/03/06 23:13:41] ppocr INFO: cur metric, precision: 0.8441913439635536, recall: 0.8679156908665105, hmean: 0.8558891454965358, fps: 78.05754077635011 [2024/03/06 23:13:41] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:13:41] ppocr INFO: epoch: [33/200], global_step: 858, lr: 0.000042, loss: 0.031381, avg_reader_cost: 0.00022 s, avg_batch_cost: 0.10208 s, avg_samples: 5.9, ips: 57.80054 samples/s, eta: 0:48:10 [2024/03/06 23:13:58] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:13:59] ppocr INFO: epoch: [34/200], global_step: 860, lr: 0.000042, loss: 0.031381, avg_reader_cost: 1.68047 s, avg_batch_cost: 1.71030 s, avg_samples: 1.6, ips: 0.93551 samples/s, eta: 0:49:29 [2024/03/06 23:14:01] ppocr INFO: epoch: [34/200], global_step: 870, lr: 0.000042, loss: 0.033757, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13638 s, avg_samples: 8.0, ips: 58.66067 samples/s, eta: 0:48:54 [2024/03/06 23:14:04] ppocr INFO: cur metric, precision: 0.8100217864923748, recall: 0.8707259953161592, hmean: 0.8392776523702031, fps: 78.18879279918208 [2024/03/06 23:14:04] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:14:06] ppocr INFO: epoch: [34/200], global_step: 880, lr: 0.000042, loss: 0.038072, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13670 s, avg_samples: 8.0, ips: 58.52252 samples/s, eta: 0:48:21 [2024/03/06 23:14:06] ppocr INFO: epoch: [34/200], global_step: 884, lr: 0.000042, loss: 0.033786, avg_reader_cost: 0.00009 s, avg_batch_cost: 0.04707 s, avg_samples: 2.7, ips: 57.36672 samples/s, eta: 0:48:08 [2024/03/06 23:14:19] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:14:21] ppocr INFO: epoch: [35/200], global_step: 890, lr: 0.000042, loss: 0.036095, avg_reader_cost: 1.27301 s, avg_batch_cost: 1.35640 s, avg_samples: 4.8, ips: 3.53877 samples/s, eta: 0:48:50 [2024/03/06 23:14:23] ppocr INFO: cur metric, precision: 0.8207712532865907, recall: 0.8772833723653396, hmean: 0.848086936834956, fps: 77.42676106142414 [2024/03/06 23:14:23] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:14:25] ppocr INFO: epoch: [35/200], global_step: 900, lr: 0.000042, loss: 0.024532, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13684 s, avg_samples: 8.0, ips: 58.46101 samples/s, eta: 0:48:17 [2024/03/06 23:14:28] ppocr INFO: epoch: [35/200], global_step: 910, lr: 0.000042, loss: 0.023986, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.12909 s, avg_samples: 7.5, ips: 58.09795 samples/s, eta: 0:47:45 [2024/03/06 23:14:40] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:14:42] ppocr INFO: cur metric, precision: 0.8294299602297834, recall: 0.8791569086651054, hmean: 0.8535698044565712, fps: 78.37701207274793 [2024/03/06 23:14:42] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:14:44] ppocr INFO: epoch: [36/200], global_step: 920, lr: 0.000042, loss: 0.013369, avg_reader_cost: 1.27154 s, avg_batch_cost: 1.41091 s, avg_samples: 8.0, ips: 5.67008 samples/s, eta: 0:48:13 [2024/03/06 23:14:47] ppocr INFO: epoch: [36/200], global_step: 930, lr: 0.000042, loss: 0.014053, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13747 s, avg_samples: 8.0, ips: 58.19300 samples/s, eta: 0:47:41 [2024/03/06 23:14:49] ppocr INFO: cur metric, precision: 0.8356890459363958, recall: 0.8861826697892272, hmean: 0.8601954989770403, fps: 78.74691625094552 [2024/03/06 23:14:49] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:14:50] ppocr INFO: epoch: [36/200], global_step: 936, lr: 0.000042, loss: 0.012394, avg_reader_cost: 0.00015 s, avg_batch_cost: 0.07414 s, avg_samples: 4.3, ips: 58.00228 samples/s, eta: 0:47:22 [2024/03/06 23:15:02] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:15:04] ppocr INFO: epoch: [37/200], global_step: 940, lr: 0.000042, loss: 0.012771, avg_reader_cost: 1.26535 s, avg_batch_cost: 1.32239 s, avg_samples: 3.2, ips: 2.41986 samples/s, eta: 0:48:07 [2024/03/06 23:15:07] ppocr INFO: epoch: [37/200], global_step: 950, lr: 0.000041, loss: 0.011039, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13722 s, avg_samples: 8.0, ips: 58.30195 samples/s, eta: 0:47:36 [2024/03/06 23:15:08] ppocr INFO: cur metric, precision: 0.831639416703491, recall: 0.8814988290398127, hmean: 0.855843565256935, fps: 77.0952242657736 [2024/03/06 23:15:08] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:15:11] ppocr INFO: epoch: [37/200], global_step: 960, lr: 0.000041, loss: 0.011569, avg_reader_cost: 0.00025 s, avg_batch_cost: 0.13628 s, avg_samples: 8.0, ips: 58.70249 samples/s, eta: 0:47:06 [2024/03/06 23:15:11] ppocr INFO: epoch: [37/200], global_step: 962, lr: 0.000041, loss: 0.010920, avg_reader_cost: 0.00004 s, avg_batch_cost: 0.01966 s, avg_samples: 1.1, ips: 55.95837 samples/s, eta: 0:47:00 [2024/03/06 23:15:27] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:15:31] ppocr INFO: cur metric, precision: 0.845222072678331, recall: 0.8824355971896956, hmean: 0.8634280476626948, fps: 78.45311464098445 [2024/03/06 23:15:31] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:15:31] ppocr INFO: epoch: [38/200], global_step: 970, lr: 0.000041, loss: 0.011652, avg_reader_cost: 1.67261 s, avg_batch_cost: 1.78474 s, avg_samples: 6.4, ips: 3.58596 samples/s, eta: 0:47:49 [2024/03/06 23:15:34] ppocr INFO: epoch: [38/200], global_step: 980, lr: 0.000041, loss: 0.012271, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13740 s, avg_samples: 8.0, ips: 58.22435 samples/s, eta: 0:47:19 [2024/03/06 23:15:36] ppocr INFO: epoch: [38/200], global_step: 988, lr: 0.000041, loss: 0.008365, avg_reader_cost: 0.00020 s, avg_batch_cost: 0.10101 s, avg_samples: 5.9, ips: 58.40880 samples/s, eta: 0:46:55 [2024/03/06 23:15:38] ppocr INFO: cur metric, precision: 0.8372715113687026, recall: 0.8796252927400469, hmean: 0.8579259936043855, fps: 78.651228979625 [2024/03/06 23:15:38] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:15:50] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:15:51] ppocr INFO: epoch: [39/200], global_step: 990, lr: 0.000041, loss: 0.008988, avg_reader_cost: 1.31705 s, avg_batch_cost: 1.34587 s, avg_samples: 1.6, ips: 1.18883 samples/s, eta: 0:47:45 [2024/03/06 23:15:54] ppocr INFO: epoch: [39/200], global_step: 1000, lr: 0.000041, loss: 0.007532, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13746 s, avg_samples: 8.0, ips: 58.20042 samples/s, eta: 0:47:15 [2024/03/06 23:15:57] ppocr INFO: cur metric, precision: 0.8452274754683319, recall: 0.8875878220140515, hmean: 0.8658898789124971, fps: 78.02869154215075 [2024/03/06 23:15:57] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:15:58] ppocr INFO: epoch: [39/200], global_step: 1010, lr: 0.000041, loss: 0.008898, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13668 s, avg_samples: 8.0, ips: 58.53077 samples/s, eta: 0:46:46 [2024/03/06 23:15:59] ppocr INFO: epoch: [39/200], global_step: 1014, lr: 0.000041, loss: 0.008812, avg_reader_cost: 0.00011 s, avg_batch_cost: 0.04735 s, avg_samples: 2.7, ips: 57.02404 samples/s, eta: 0:46:34 [2024/03/06 23:16:11] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:16:13] ppocr INFO: epoch: [40/200], global_step: 1020, lr: 0.000041, loss: 0.009464, avg_reader_cost: 1.25825 s, avg_batch_cost: 1.34317 s, avg_samples: 4.8, ips: 3.57362 samples/s, eta: 0:47:09 [2024/03/06 23:16:16] ppocr INFO: cur metric, precision: 0.8489047831917746, recall: 0.8894613583138173, hmean: 0.8687099725526075, fps: 78.07552586403028 [2024/03/06 23:16:16] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:16:18] ppocr INFO: epoch: [40/200], global_step: 1030, lr: 0.000041, loss: 0.005496, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13678 s, avg_samples: 8.0, ips: 58.48664 samples/s, eta: 0:46:40 [2024/03/06 23:16:20] ppocr INFO: epoch: [40/200], global_step: 1040, lr: 0.000041, loss: 0.005905, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.12882 s, avg_samples: 7.5, ips: 58.22151 samples/s, eta: 0:46:12 [2024/03/06 23:16:32] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:16:36] ppocr INFO: cur metric, precision: 0.8400531679220203, recall: 0.8880562060889929, hmean: 0.8633879781420766, fps: 77.77042144532979 [2024/03/06 23:16:36] ppocr INFO: best metric, hmean: 0.870463941203491, precision: 0.853988283010365, recall: 0.8875878220140515, fps: 78.52655534591325, best_epoch: 24 [2024/03/06 23:16:37] ppocr INFO: epoch: [41/200], global_step: 1050, lr: 0.000040, loss: 0.004657, avg_reader_cost: 1.27649 s, avg_batch_cost: 1.41538 s, avg_samples: 8.0, ips: 5.65218 samples/s, eta: 0:46:35 [2024/03/06 23:16:40] ppocr INFO: epoch: [41/200], global_step: 1060, lr: 0.000040, loss: 0.006714, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13751 s, avg_samples: 8.0, ips: 58.17590 samples/s, eta: 0:46:07 [2024/03/06 23:16:42] ppocr INFO: cur metric, precision: 0.8492663405958204, recall: 0.8946135831381733, hmean: 0.8713503649635037, fps: 77.9576276296866 [2024/03/06 23:17:15] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:17:15] ppocr INFO: best metric, hmean: 0.8713503649635037, precision: 0.8492663405958204, recall: 0.8946135831381733, fps: 77.9576276296866, best_epoch: 41 [2024/03/06 23:17:16] ppocr INFO: epoch: [41/200], global_step: 1066, lr: 0.000040, loss: 0.005769, avg_reader_cost: 0.00019 s, avg_batch_cost: 0.07755 s, avg_samples: 4.3, ips: 55.44712 samples/s, eta: 0:45:51 [2024/03/06 23:17:28] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:17:30] ppocr INFO: epoch: [42/200], global_step: 1070, lr: 0.000040, loss: 0.003581, avg_reader_cost: 1.31184 s, avg_batch_cost: 1.36863 s, avg_samples: 3.2, ips: 2.33811 samples/s, eta: 0:46:31 [2024/03/06 23:17:33] ppocr INFO: epoch: [42/200], global_step: 1080, lr: 0.000040, loss: 0.004725, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13641 s, avg_samples: 8.0, ips: 58.64555 samples/s, eta: 0:46:03 [2024/03/06 23:17:35] ppocr INFO: cur metric, precision: 0.8487957181088314, recall: 0.8913348946135832, hmean: 0.8695453506968244, fps: 77.92733997317146 [2024/03/06 23:17:35] ppocr INFO: best metric, hmean: 0.8713503649635037, precision: 0.8492663405958204, recall: 0.8946135831381733, fps: 77.9576276296866, best_epoch: 41 [2024/03/06 23:17:37] ppocr INFO: epoch: [42/200], global_step: 1090, lr: 0.000040, loss: 0.004692, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.13637 s, avg_samples: 8.0, ips: 58.66194 samples/s, eta: 0:45:36 [2024/03/06 23:17:37] ppocr INFO: epoch: [42/200], global_step: 1092, lr: 0.000040, loss: 0.005481, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01973 s, avg_samples: 1.1, ips: 55.74082 samples/s, eta: 0:45:31 [2024/03/06 23:17:50] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:17:53] ppocr INFO: epoch: [43/200], global_step: 1100, lr: 0.000040, loss: 0.004617, avg_reader_cost: 1.33843 s, avg_batch_cost: 1.45066 s, avg_samples: 6.4, ips: 4.41178 samples/s, eta: 0:46:00 [2024/03/06 23:17:55] ppocr INFO: cur metric, precision: 0.851586946803755, recall: 0.892271662763466, hmean: 0.8714547118023788, fps: 78.04908386949508 [2024/03/06 23:18:20] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:18:20] ppocr INFO: best metric, hmean: 0.8714547118023788, precision: 0.851586946803755, recall: 0.892271662763466, fps: 78.04908386949508, best_epoch: 43 [2024/03/06 23:18:23] ppocr INFO: epoch: [43/200], global_step: 1110, lr: 0.000040, loss: 0.004726, avg_reader_cost: 0.00038 s, avg_batch_cost: 0.13698 s, avg_samples: 8.0, ips: 58.40096 samples/s, eta: 0:45:33 [2024/03/06 23:18:25] ppocr INFO: epoch: [43/200], global_step: 1118, lr: 0.000040, loss: 0.004020, avg_reader_cost: 0.00022 s, avg_batch_cost: 0.10139 s, avg_samples: 5.9, ips: 58.19007 samples/s, eta: 0:45:12 [2024/03/06 23:18:37] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:18:38] ppocr INFO: epoch: [44/200], global_step: 1120, lr: 0.000040, loss: 0.004082, avg_reader_cost: 1.33096 s, avg_batch_cost: 1.36044 s, avg_samples: 1.6, ips: 1.17609 samples/s, eta: 0:45:55 [2024/03/06 23:18:40] ppocr INFO: cur metric, precision: 0.8479820627802691, recall: 0.8857142857142857, hmean: 0.8664375715922109, fps: 77.70078658471068 [2024/03/06 23:18:40] ppocr INFO: best metric, hmean: 0.8714547118023788, precision: 0.851586946803755, recall: 0.892271662763466, fps: 78.04908386949508, best_epoch: 43 [2024/03/06 23:18:43] ppocr INFO: epoch: [44/200], global_step: 1130, lr: 0.000040, loss: 0.003792, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13701 s, avg_samples: 8.0, ips: 58.39096 samples/s, eta: 0:45:29 [2024/03/06 23:18:45] ppocr INFO: epoch: [44/200], global_step: 1140, lr: 0.000040, loss: 0.004824, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13733 s, avg_samples: 8.0, ips: 58.25541 samples/s, eta: 0:45:04 [2024/03/06 23:18:47] ppocr INFO: cur metric, precision: 0.8369230769230769, recall: 0.8918032786885246, hmean: 0.8634920634920635, fps: 77.98033466355368 [2024/03/06 23:18:47] ppocr INFO: best metric, hmean: 0.8714547118023788, precision: 0.851586946803755, recall: 0.892271662763466, fps: 78.04908386949508, best_epoch: 43 [2024/03/06 23:18:48] ppocr INFO: epoch: [44/200], global_step: 1144, lr: 0.000040, loss: 0.004766, avg_reader_cost: 0.00010 s, avg_batch_cost: 0.04724 s, avg_samples: 2.7, ips: 57.15216 samples/s, eta: 0:44:53 [2024/03/06 23:19:01] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:19:03] ppocr INFO: epoch: [45/200], global_step: 1150, lr: 0.000039, loss: 0.004119, avg_reader_cost: 1.33736 s, avg_batch_cost: 1.42118 s, avg_samples: 4.8, ips: 3.37748 samples/s, eta: 0:45:25 [2024/03/06 23:19:07] ppocr INFO: cur metric, precision: 0.8489047831917746, recall: 0.8894613583138173, hmean: 0.8687099725526075, fps: 76.93172554569347 [2024/03/06 23:19:07] ppocr INFO: best metric, hmean: 0.8714547118023788, precision: 0.851586946803755, recall: 0.892271662763466, fps: 78.04908386949508, best_epoch: 43 [2024/03/06 23:19:07] ppocr INFO: epoch: [45/200], global_step: 1160, lr: 0.000039, loss: 0.004916, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13763 s, avg_samples: 8.0, ips: 58.12793 samples/s, eta: 0:45:00 [2024/03/06 23:19:10] ppocr INFO: epoch: [45/200], global_step: 1170, lr: 0.000039, loss: 0.004027, avg_reader_cost: 0.00023 s, avg_batch_cost: 0.12852 s, avg_samples: 7.5, ips: 58.35445 samples/s, eta: 0:44:35 [2024/03/06 23:19:24] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:19:28] ppocr INFO: cur metric, precision: 0.8533750558784086, recall: 0.8941451990632319, hmean: 0.8732845379688929, fps: 77.72724914157416 [2024/03/06 23:19:54] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:19:54] ppocr INFO: best metric, hmean: 0.8732845379688929, precision: 0.8533750558784086, recall: 0.8941451990632319, fps: 77.72724914157416, best_epoch: 46 [2024/03/06 23:19:55] ppocr INFO: epoch: [46/200], global_step: 1180, lr: 0.000039, loss: 0.003651, avg_reader_cost: 1.53064 s, avg_batch_cost: 1.66939 s, avg_samples: 8.0, ips: 4.79218 samples/s, eta: 0:45:02 [2024/03/06 23:19:58] ppocr INFO: epoch: [46/200], global_step: 1190, lr: 0.000039, loss: 0.003948, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13683 s, avg_samples: 8.0, ips: 58.46536 samples/s, eta: 0:44:37 [2024/03/06 23:19:59] ppocr INFO: epoch: [46/200], global_step: 1196, lr: 0.000039, loss: 0.003511, avg_reader_cost: 0.00014 s, avg_batch_cost: 0.07394 s, avg_samples: 4.3, ips: 58.15851 samples/s, eta: 0:44:22 [2024/03/06 23:20:12] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:20:14] ppocr INFO: cur metric, precision: 0.8447508896797153, recall: 0.8894613583138173, hmean: 0.86652977412731, fps: 76.47686532813827 [2024/03/06 23:20:14] ppocr INFO: best metric, hmean: 0.8732845379688929, precision: 0.8533750558784086, recall: 0.8941451990632319, fps: 77.72724914157416, best_epoch: 46 [2024/03/06 23:20:15] ppocr INFO: epoch: [47/200], global_step: 1200, lr: 0.000039, loss: 0.004415, avg_reader_cost: 1.32322 s, avg_batch_cost: 1.37999 s, avg_samples: 3.2, ips: 2.31885 samples/s, eta: 0:44:57 [2024/03/06 23:20:18] ppocr INFO: epoch: [47/200], global_step: 1210, lr: 0.000039, loss: 0.002894, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13715 s, avg_samples: 8.0, ips: 58.32972 samples/s, eta: 0:44:32 [2024/03/06 23:20:21] ppocr INFO: cur metric, precision: 0.8516360376512775, recall: 0.8899297423887588, hmean: 0.8703618873110399, fps: 77.28583531485154 [2024/03/06 23:20:21] ppocr INFO: best metric, hmean: 0.8732845379688929, precision: 0.8533750558784086, recall: 0.8941451990632319, fps: 77.72724914157416, best_epoch: 46 [2024/03/06 23:20:22] ppocr INFO: epoch: [47/200], global_step: 1220, lr: 0.000039, loss: 0.004707, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13686 s, avg_samples: 8.0, ips: 58.45194 samples/s, eta: 0:44:08 [2024/03/06 23:20:22] ppocr INFO: epoch: [47/200], global_step: 1222, lr: 0.000039, loss: 0.004707, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01960 s, avg_samples: 1.1, ips: 56.11989 samples/s, eta: 0:44:03 [2024/03/06 23:20:35] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:20:38] ppocr INFO: epoch: [48/200], global_step: 1230, lr: 0.000039, loss: 0.004163, avg_reader_cost: 1.35209 s, avg_batch_cost: 1.46350 s, avg_samples: 6.4, ips: 4.37309 samples/s, eta: 0:44:28 [2024/03/06 23:20:41] ppocr INFO: cur metric, precision: 0.8496207050423918, recall: 0.8918032786885246, hmean: 0.870201096892139, fps: 78.02701416687302 [2024/03/06 23:20:41] ppocr INFO: best metric, hmean: 0.8732845379688929, precision: 0.8533750558784086, recall: 0.8941451990632319, fps: 77.72724914157416, best_epoch: 46 [2024/03/06 23:20:42] ppocr INFO: epoch: [48/200], global_step: 1240, lr: 0.000039, loss: 0.004936, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13753 s, avg_samples: 8.0, ips: 58.17012 samples/s, eta: 0:44:04 [2024/03/06 23:20:44] ppocr INFO: epoch: [48/200], global_step: 1248, lr: 0.000039, loss: 0.004661, avg_reader_cost: 0.00019 s, avg_batch_cost: 0.10147 s, avg_samples: 5.9, ips: 58.14460 samples/s, eta: 0:43:45 [2024/03/06 23:20:57] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:20:58] ppocr INFO: epoch: [49/200], global_step: 1250, lr: 0.000039, loss: 0.004767, avg_reader_cost: 1.32322 s, avg_batch_cost: 1.35336 s, avg_samples: 1.6, ips: 1.18224 samples/s, eta: 0:44:23 [2024/03/06 23:21:01] ppocr INFO: cur metric, precision: 0.8478357875948237, recall: 0.8899297423887588, hmean: 0.8683729433272396, fps: 77.36110092119151 [2024/03/06 23:21:01] ppocr INFO: best metric, hmean: 0.8732845379688929, precision: 0.8533750558784086, recall: 0.8941451990632319, fps: 77.72724914157416, best_epoch: 46 [2024/03/06 23:21:02] ppocr INFO: epoch: [49/200], global_step: 1260, lr: 0.000038, loss: 0.005346, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13694 s, avg_samples: 8.0, ips: 58.41790 samples/s, eta: 0:43:59 [2024/03/06 23:21:05] ppocr INFO: epoch: [49/200], global_step: 1270, lr: 0.000038, loss: 0.003612, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13619 s, avg_samples: 8.0, ips: 58.74143 samples/s, eta: 0:43:36 [2024/03/06 23:21:07] ppocr INFO: cur metric, precision: 0.8512064343163539, recall: 0.892271662763466, hmean: 0.8712554310541963, fps: 78.03820878638356 [2024/03/06 23:21:07] ppocr INFO: best metric, hmean: 0.8732845379688929, precision: 0.8533750558784086, recall: 0.8941451990632319, fps: 77.72724914157416, best_epoch: 46 [2024/03/06 23:21:07] ppocr INFO: epoch: [49/200], global_step: 1274, lr: 0.000038, loss: 0.003304, avg_reader_cost: 0.00010 s, avg_batch_cost: 0.04770 s, avg_samples: 2.7, ips: 56.60779 samples/s, eta: 0:43:26 [2024/03/06 23:21:21] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:21:23] ppocr INFO: epoch: [50/200], global_step: 1280, lr: 0.000038, loss: 0.004995, avg_reader_cost: 1.38986 s, avg_batch_cost: 1.47445 s, avg_samples: 4.8, ips: 3.25546 samples/s, eta: 0:43:55 [2024/03/06 23:21:25] ppocr INFO: epoch: [50/200], global_step: 1290, lr: 0.000038, loss: 0.004034, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.13667 s, avg_samples: 8.0, ips: 58.53450 samples/s, eta: 0:43:32 [2024/03/06 23:21:27] ppocr INFO: cur metric, precision: 0.8556053811659193, recall: 0.8936768149882904, hmean: 0.8742268041237113, fps: 77.79882343630464 [2024/03/06 23:21:53] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:21:53] ppocr INFO: best metric, hmean: 0.8742268041237113, precision: 0.8556053811659193, recall: 0.8936768149882904, fps: 77.79882343630464, best_epoch: 50 [2024/03/06 23:21:55] ppocr INFO: epoch: [50/200], global_step: 1300, lr: 0.000038, loss: 0.004624, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13007 s, avg_samples: 7.5, ips: 57.66009 samples/s, eta: 0:43:10 [2024/03/06 23:22:08] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:22:11] ppocr INFO: epoch: [51/200], global_step: 1310, lr: 0.000038, loss: 0.003265, avg_reader_cost: 1.34221 s, avg_batch_cost: 1.48169 s, avg_samples: 8.0, ips: 5.39925 samples/s, eta: 0:43:27 [2024/03/06 23:22:13] ppocr INFO: cur metric, precision: 0.8470483005366727, recall: 0.8871194379391101, hmean: 0.8666209105467856, fps: 78.08040296214908 [2024/03/06 23:22:13] ppocr INFO: best metric, hmean: 0.8742268041237113, precision: 0.8556053811659193, recall: 0.8936768149882904, fps: 77.79882343630464, best_epoch: 50 [2024/03/06 23:22:15] ppocr INFO: epoch: [51/200], global_step: 1320, lr: 0.000038, loss: 0.003359, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.13673 s, avg_samples: 8.0, ips: 58.50857 samples/s, eta: 0:43:05 [2024/03/06 23:22:17] ppocr INFO: epoch: [51/200], global_step: 1326, lr: 0.000038, loss: 0.003122, avg_reader_cost: 0.00015 s, avg_batch_cost: 0.07455 s, avg_samples: 4.3, ips: 57.68176 samples/s, eta: 0:42:51 [2024/03/06 23:22:29] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:22:31] ppocr INFO: epoch: [52/200], global_step: 1330, lr: 0.000038, loss: 0.004197, avg_reader_cost: 1.35128 s, avg_batch_cost: 1.40825 s, avg_samples: 3.2, ips: 2.27233 samples/s, eta: 0:43:22 [2024/03/06 23:22:33] ppocr INFO: cur metric, precision: 0.8518518518518519, recall: 0.8941451990632319, hmean: 0.8724862888482633, fps: 78.03301434160463 [2024/03/06 23:22:33] ppocr INFO: best metric, hmean: 0.8742268041237113, precision: 0.8556053811659193, recall: 0.8936768149882904, fps: 77.79882343630464, best_epoch: 50 [2024/03/06 23:22:35] ppocr INFO: epoch: [52/200], global_step: 1340, lr: 0.000038, loss: 0.003357, avg_reader_cost: 0.00037 s, avg_batch_cost: 0.13821 s, avg_samples: 8.0, ips: 57.88364 samples/s, eta: 0:43:00 [2024/03/06 23:22:39] ppocr INFO: cur metric, precision: 0.848, recall: 0.8936768149882904, hmean: 0.8702394526795895, fps: 77.79574501760818 [2024/03/06 23:22:39] ppocr INFO: best metric, hmean: 0.8742268041237113, precision: 0.8556053811659193, recall: 0.8936768149882904, fps: 77.79882343630464, best_epoch: 50 [2024/03/06 23:22:40] ppocr INFO: epoch: [52/200], global_step: 1350, lr: 0.000038, loss: 0.003564, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13780 s, avg_samples: 8.0, ips: 58.05475 samples/s, eta: 0:42:38 [2024/03/06 23:22:40] ppocr INFO: epoch: [52/200], global_step: 1352, lr: 0.000038, loss: 0.003464, avg_reader_cost: 0.00004 s, avg_batch_cost: 0.01951 s, avg_samples: 1.1, ips: 56.36968 samples/s, eta: 0:42:33 [2024/03/06 23:22:55] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:22:57] ppocr INFO: epoch: [53/200], global_step: 1360, lr: 0.000037, loss: 0.003114, avg_reader_cost: 1.52747 s, avg_batch_cost: 1.63783 s, avg_samples: 6.4, ips: 3.90762 samples/s, eta: 0:42:59 [2024/03/06 23:23:01] ppocr INFO: cur metric, precision: 0.8457446808510638, recall: 0.8936768149882904, hmean: 0.8690503302209065, fps: 77.83587976871557 [2024/03/06 23:23:01] ppocr INFO: best metric, hmean: 0.8742268041237113, precision: 0.8556053811659193, recall: 0.8936768149882904, fps: 77.79882343630464, best_epoch: 50 [2024/03/06 23:23:02] ppocr INFO: epoch: [53/200], global_step: 1370, lr: 0.000037, loss: 0.003465, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13686 s, avg_samples: 8.0, ips: 58.45347 samples/s, eta: 0:42:38 [2024/03/06 23:23:04] ppocr INFO: epoch: [53/200], global_step: 1378, lr: 0.000037, loss: 0.003182, avg_reader_cost: 0.00020 s, avg_batch_cost: 0.10179 s, avg_samples: 5.9, ips: 57.96383 samples/s, eta: 0:42:20 [2024/03/06 23:23:16] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:23:17] ppocr INFO: epoch: [54/200], global_step: 1380, lr: 0.000037, loss: 0.003271, avg_reader_cost: 1.31613 s, avg_batch_cost: 1.34667 s, avg_samples: 1.6, ips: 1.18812 samples/s, eta: 0:42:53 [2024/03/06 23:23:21] ppocr INFO: cur metric, precision: 0.848349687778769, recall: 0.8908665105386416, hmean: 0.8690884167237833, fps: 77.99348179932751 [2024/03/06 23:23:21] ppocr INFO: best metric, hmean: 0.8742268041237113, precision: 0.8556053811659193, recall: 0.8936768149882904, fps: 77.79882343630464, best_epoch: 50 [2024/03/06 23:23:21] ppocr INFO: epoch: [54/200], global_step: 1390, lr: 0.000037, loss: 0.002614, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13793 s, avg_samples: 8.0, ips: 58.00062 samples/s, eta: 0:42:31 [2024/03/06 23:23:24] ppocr INFO: epoch: [54/200], global_step: 1400, lr: 0.000037, loss: 0.002343, avg_reader_cost: 0.00026 s, avg_batch_cost: 0.13658 s, avg_samples: 8.0, ips: 58.57575 samples/s, eta: 0:42:10 [2024/03/06 23:23:25] ppocr INFO: epoch: [54/200], global_step: 1404, lr: 0.000037, loss: 0.002349, avg_reader_cost: 0.00009 s, avg_batch_cost: 0.04694 s, avg_samples: 2.7, ips: 57.52124 samples/s, eta: 0:42:01 [2024/03/06 23:23:38] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:23:41] ppocr INFO: cur metric, precision: 0.8471223021582733, recall: 0.8824355971896956, hmean: 0.8644184445973848, fps: 78.8299942405191 [2024/03/06 23:23:41] ppocr INFO: best metric, hmean: 0.8742268041237113, precision: 0.8556053811659193, recall: 0.8936768149882904, fps: 77.79882343630464, best_epoch: 50 [2024/03/06 23:23:42] ppocr INFO: epoch: [55/200], global_step: 1410, lr: 0.000037, loss: 0.002821, avg_reader_cost: 1.35504 s, avg_batch_cost: 1.43886 s, avg_samples: 4.8, ips: 3.33596 samples/s, eta: 0:42:25 [2024/03/06 23:23:44] ppocr INFO: epoch: [55/200], global_step: 1420, lr: 0.000037, loss: 0.002435, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13660 s, avg_samples: 8.0, ips: 58.56524 samples/s, eta: 0:42:04 [2024/03/06 23:23:47] ppocr INFO: cur metric, precision: 0.8517179023508138, recall: 0.8824355971896956, hmean: 0.8668046928916494, fps: 77.92637476017484 [2024/03/06 23:23:47] ppocr INFO: best metric, hmean: 0.8742268041237113, precision: 0.8556053811659193, recall: 0.8936768149882904, fps: 77.79882343630464, best_epoch: 50 [2024/03/06 23:23:48] ppocr INFO: epoch: [55/200], global_step: 1430, lr: 0.000037, loss: 0.002720, avg_reader_cost: 0.00025 s, avg_batch_cost: 0.12898 s, avg_samples: 7.5, ips: 58.14805 samples/s, eta: 0:41:44 [2024/03/06 23:24:01] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:24:04] ppocr INFO: epoch: [56/200], global_step: 1440, lr: 0.000037, loss: 0.002169, avg_reader_cost: 1.32848 s, avg_batch_cost: 1.46918 s, avg_samples: 8.0, ips: 5.44523 samples/s, eta: 0:41:58 [2024/03/06 23:24:07] ppocr INFO: cur metric, precision: 0.8421052631578947, recall: 0.8843091334894614, hmean: 0.8626913411012109, fps: 78.02069240050943 [2024/03/06 23:24:07] ppocr INFO: best metric, hmean: 0.8742268041237113, precision: 0.8556053811659193, recall: 0.8936768149882904, fps: 77.79882343630464, best_epoch: 50 [2024/03/06 23:24:09] ppocr INFO: epoch: [56/200], global_step: 1450, lr: 0.000037, loss: 0.002192, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13732 s, avg_samples: 8.0, ips: 58.25706 samples/s, eta: 0:41:37 [2024/03/06 23:24:10] ppocr INFO: epoch: [56/200], global_step: 1456, lr: 0.000037, loss: 0.002321, avg_reader_cost: 0.00016 s, avg_batch_cost: 0.07434 s, avg_samples: 4.3, ips: 57.84484 samples/s, eta: 0:41:25 [2024/03/06 23:24:25] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:24:27] ppocr INFO: epoch: [57/200], global_step: 1460, lr: 0.000037, loss: 0.002371, avg_reader_cost: 1.53514 s, avg_batch_cost: 1.59265 s, avg_samples: 3.2, ips: 2.00923 samples/s, eta: 0:41:56 [2024/03/06 23:24:29] ppocr INFO: cur metric, precision: 0.8442659526996876, recall: 0.8861826697892272, hmean: 0.8647166361974407, fps: 78.64680464521291 [2024/03/06 23:24:29] ppocr INFO: best metric, hmean: 0.8742268041237113, precision: 0.8556053811659193, recall: 0.8936768149882904, fps: 77.79882343630464, best_epoch: 50 [2024/03/06 23:24:31] ppocr INFO: epoch: [57/200], global_step: 1470, lr: 0.000036, loss: 0.002096, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13744 s, avg_samples: 8.0, ips: 58.20717 samples/s, eta: 0:41:36 [2024/03/06 23:24:33] ppocr INFO: epoch: [57/200], global_step: 1480, lr: 0.000036, loss: 0.002055, avg_reader_cost: 0.00025 s, avg_batch_cost: 0.13617 s, avg_samples: 8.0, ips: 58.75005 samples/s, eta: 0:41:16 [2024/03/06 23:24:34] ppocr INFO: epoch: [57/200], global_step: 1482, lr: 0.000036, loss: 0.002020, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.02063 s, avg_samples: 1.1, ips: 53.31979 samples/s, eta: 0:41:12 [2024/03/06 23:24:35] ppocr INFO: cur metric, precision: 0.8444741532976827, recall: 0.8875878220140515, hmean: 0.865494405115323, fps: 77.60634686984106 [2024/03/06 23:24:35] ppocr INFO: best metric, hmean: 0.8742268041237113, precision: 0.8556053811659193, recall: 0.8936768149882904, fps: 77.79882343630464, best_epoch: 50 [2024/03/06 23:24:48] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:24:51] ppocr INFO: epoch: [58/200], global_step: 1490, lr: 0.000036, loss: 0.002066, avg_reader_cost: 1.36118 s, avg_batch_cost: 1.47303 s, avg_samples: 6.4, ips: 4.34478 samples/s, eta: 0:41:30 [2024/03/06 23:24:54] ppocr INFO: epoch: [58/200], global_step: 1500, lr: 0.000036, loss: 0.002335, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13645 s, avg_samples: 8.0, ips: 58.62934 samples/s, eta: 0:41:10 [2024/03/06 23:24:55] ppocr INFO: cur metric, precision: 0.852017937219731, recall: 0.8899297423887588, hmean: 0.870561282932417, fps: 77.97318293678941 [2024/03/06 23:24:55] ppocr INFO: best metric, hmean: 0.8742268041237113, precision: 0.8556053811659193, recall: 0.8936768149882904, fps: 77.79882343630464, best_epoch: 50 [2024/03/06 23:24:57] ppocr INFO: epoch: [58/200], global_step: 1508, lr: 0.000036, loss: 0.002609, avg_reader_cost: 0.00020 s, avg_batch_cost: 0.10172 s, avg_samples: 5.9, ips: 58.00288 samples/s, eta: 0:40:54 [2024/03/06 23:25:10] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:25:11] ppocr INFO: epoch: [59/200], global_step: 1510, lr: 0.000036, loss: 0.002526, avg_reader_cost: 1.34944 s, avg_batch_cost: 1.37832 s, avg_samples: 1.6, ips: 1.16083 samples/s, eta: 0:41:23 [2024/03/06 23:25:14] ppocr INFO: epoch: [59/200], global_step: 1520, lr: 0.000036, loss: 0.002822, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13710 s, avg_samples: 8.0, ips: 58.35106 samples/s, eta: 0:41:04 [2024/03/06 23:25:15] ppocr INFO: cur metric, precision: 0.8430413517118719, recall: 0.8880562060889929, hmean: 0.864963503649635, fps: 77.34740536356136 [2024/03/06 23:25:15] ppocr INFO: best metric, hmean: 0.8742268041237113, precision: 0.8556053811659193, recall: 0.8936768149882904, fps: 77.79882343630464, best_epoch: 50 [2024/03/06 23:25:18] ppocr INFO: epoch: [59/200], global_step: 1530, lr: 0.000036, loss: 0.002508, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13667 s, avg_samples: 8.0, ips: 58.53638 samples/s, eta: 0:40:44 [2024/03/06 23:25:19] ppocr INFO: epoch: [59/200], global_step: 1534, lr: 0.000036, loss: 0.002262, avg_reader_cost: 0.00012 s, avg_batch_cost: 0.04744 s, avg_samples: 2.7, ips: 56.91439 samples/s, eta: 0:40:36 [2024/03/06 23:25:32] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:25:35] ppocr INFO: cur metric, precision: 0.8468388245770259, recall: 0.8908665105386416, hmean: 0.8682949098379364, fps: 78.4835840110176 [2024/03/06 23:25:35] ppocr INFO: best metric, hmean: 0.8742268041237113, precision: 0.8556053811659193, recall: 0.8936768149882904, fps: 77.79882343630464, best_epoch: 50 [2024/03/06 23:25:35] ppocr INFO: epoch: [60/200], global_step: 1540, lr: 0.000036, loss: 0.002141, avg_reader_cost: 1.32907 s, avg_batch_cost: 1.41373 s, avg_samples: 4.8, ips: 3.39526 samples/s, eta: 0:40:56 [2024/03/06 23:25:38] ppocr INFO: epoch: [60/200], global_step: 1550, lr: 0.000036, loss: 0.001911, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13762 s, avg_samples: 8.0, ips: 58.13245 samples/s, eta: 0:40:37 [2024/03/06 23:25:42] ppocr INFO: cur metric, precision: 0.8592692828146143, recall: 0.892271662763466, hmean: 0.8754595588235294, fps: 77.7098080678451 [2024/03/06 23:26:15] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:26:15] ppocr INFO: best metric, hmean: 0.8754595588235294, precision: 0.8592692828146143, recall: 0.892271662763466, fps: 77.7098080678451, best_epoch: 60 [2024/03/06 23:26:16] ppocr INFO: epoch: [60/200], global_step: 1560, lr: 0.000036, loss: 0.002078, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13129 s, avg_samples: 7.5, ips: 57.12384 samples/s, eta: 0:40:18 [2024/03/06 23:26:29] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:26:32] ppocr INFO: epoch: [61/200], global_step: 1570, lr: 0.000035, loss: 0.002030, avg_reader_cost: 1.35918 s, avg_batch_cost: 1.49803 s, avg_samples: 8.0, ips: 5.34035 samples/s, eta: 0:40:30 [2024/03/06 23:26:35] ppocr INFO: cur metric, precision: 0.8523852385238524, recall: 0.8871194379391101, hmean: 0.8694055542804682, fps: 78.0485352022052 [2024/03/06 23:26:35] ppocr INFO: best metric, hmean: 0.8754595588235294, precision: 0.8592692828146143, recall: 0.892271662763466, fps: 77.7098080678451, best_epoch: 60 [2024/03/06 23:26:36] ppocr INFO: epoch: [61/200], global_step: 1580, lr: 0.000035, loss: 0.002985, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13675 s, avg_samples: 8.0, ips: 58.50028 samples/s, eta: 0:40:12 [2024/03/06 23:26:38] ppocr INFO: epoch: [61/200], global_step: 1586, lr: 0.000035, loss: 0.002336, avg_reader_cost: 0.00013 s, avg_batch_cost: 0.07399 s, avg_samples: 4.3, ips: 58.11807 samples/s, eta: 0:40:00 [2024/03/06 23:26:51] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:26:52] ppocr INFO: epoch: [62/200], global_step: 1590, lr: 0.000035, loss: 0.002458, avg_reader_cost: 1.38035 s, avg_batch_cost: 1.43661 s, avg_samples: 3.2, ips: 2.22747 samples/s, eta: 0:40:24 [2024/03/06 23:26:56] ppocr INFO: cur metric, precision: 0.8540178571428572, recall: 0.8960187353629977, hmean: 0.8745142857142857, fps: 78.59008620007644 [2024/03/06 23:26:56] ppocr INFO: best metric, hmean: 0.8754595588235294, precision: 0.8592692828146143, recall: 0.892271662763466, fps: 77.7098080678451, best_epoch: 60 [2024/03/06 23:26:57] ppocr INFO: epoch: [62/200], global_step: 1600, lr: 0.000035, loss: 0.002328, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13707 s, avg_samples: 8.0, ips: 58.36297 samples/s, eta: 0:40:05 [2024/03/06 23:26:59] ppocr INFO: epoch: [62/200], global_step: 1610, lr: 0.000035, loss: 0.002449, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13661 s, avg_samples: 8.0, ips: 58.56282 samples/s, eta: 0:39:47 [2024/03/06 23:27:00] ppocr INFO: epoch: [62/200], global_step: 1612, lr: 0.000035, loss: 0.002449, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01967 s, avg_samples: 1.1, ips: 55.92263 samples/s, eta: 0:39:43 [2024/03/06 23:27:13] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:27:16] ppocr INFO: cur metric, precision: 0.8568856885688569, recall: 0.8918032786885246, hmean: 0.8739958687170071, fps: 78.03666005968608 [2024/03/06 23:27:16] ppocr INFO: best metric, hmean: 0.8754595588235294, precision: 0.8592692828146143, recall: 0.892271662763466, fps: 77.7098080678451, best_epoch: 60 [2024/03/06 23:27:17] ppocr INFO: epoch: [63/200], global_step: 1620, lr: 0.000035, loss: 0.002355, avg_reader_cost: 1.34755 s, avg_batch_cost: 1.45958 s, avg_samples: 6.4, ips: 4.38482 samples/s, eta: 0:39:58 [2024/03/06 23:27:20] ppocr INFO: epoch: [63/200], global_step: 1630, lr: 0.000035, loss: 0.002012, avg_reader_cost: 0.00040 s, avg_batch_cost: 0.13853 s, avg_samples: 8.0, ips: 57.75128 samples/s, eta: 0:39:40 [2024/03/06 23:27:22] ppocr INFO: cur metric, precision: 0.8572714993246285, recall: 0.8918032786885246, hmean: 0.8741965105601469, fps: 77.36268636834069 [2024/03/06 23:27:22] ppocr INFO: best metric, hmean: 0.8754595588235294, precision: 0.8592692828146143, recall: 0.892271662763466, fps: 77.7098080678451, best_epoch: 60 [2024/03/06 23:27:23] ppocr INFO: epoch: [63/200], global_step: 1638, lr: 0.000035, loss: 0.001987, avg_reader_cost: 0.00021 s, avg_batch_cost: 0.10174 s, avg_samples: 5.9, ips: 57.98918 samples/s, eta: 0:39:25 [2024/03/06 23:27:36] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:27:37] ppocr INFO: epoch: [64/200], global_step: 1640, lr: 0.000035, loss: 0.002098, avg_reader_cost: 1.35815 s, avg_batch_cost: 1.38808 s, avg_samples: 1.6, ips: 1.15267 samples/s, eta: 0:39:51 [2024/03/06 23:27:40] ppocr INFO: epoch: [64/200], global_step: 1650, lr: 0.000035, loss: 0.002915, avg_reader_cost: 0.00035 s, avg_batch_cost: 0.13710 s, avg_samples: 8.0, ips: 58.35268 samples/s, eta: 0:39:33 [2024/03/06 23:27:42] ppocr INFO: cur metric, precision: 0.8462222222222222, recall: 0.8918032786885246, hmean: 0.8684150513112885, fps: 76.6848292217377 [2024/03/06 23:27:42] ppocr INFO: best metric, hmean: 0.8754595588235294, precision: 0.8592692828146143, recall: 0.892271662763466, fps: 77.7098080678451, best_epoch: 60 [2024/03/06 23:27:44] ppocr INFO: epoch: [64/200], global_step: 1660, lr: 0.000035, loss: 0.005547, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13643 s, avg_samples: 8.0, ips: 58.63703 samples/s, eta: 0:39:15 [2024/03/06 23:27:45] ppocr INFO: epoch: [64/200], global_step: 1664, lr: 0.000035, loss: 0.003802, avg_reader_cost: 0.00010 s, avg_batch_cost: 0.04687 s, avg_samples: 2.7, ips: 57.60551 samples/s, eta: 0:39:07 [2024/03/06 23:27:58] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:28:00] ppocr INFO: epoch: [65/200], global_step: 1670, lr: 0.000034, loss: 0.003447, avg_reader_cost: 1.35335 s, avg_batch_cost: 1.43911 s, avg_samples: 4.8, ips: 3.33539 samples/s, eta: 0:39:25 [2024/03/06 23:28:02] ppocr INFO: cur metric, precision: 0.8607709750566893, recall: 0.8889929742388759, hmean: 0.8746543778801843, fps: 77.75388988444664 [2024/03/06 23:28:02] ppocr INFO: best metric, hmean: 0.8754595588235294, precision: 0.8592692828146143, recall: 0.892271662763466, fps: 77.7098080678451, best_epoch: 60 [2024/03/06 23:28:04] ppocr INFO: epoch: [65/200], global_step: 1680, lr: 0.000034, loss: 0.002129, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.13655 s, avg_samples: 8.0, ips: 58.58544 samples/s, eta: 0:39:08 [2024/03/06 23:28:07] ppocr INFO: epoch: [65/200], global_step: 1690, lr: 0.000034, loss: 0.003498, avg_reader_cost: 0.00024 s, avg_batch_cost: 0.12926 s, avg_samples: 7.5, ips: 58.02235 samples/s, eta: 0:38:50 [2024/03/06 23:28:20] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:28:23] ppocr INFO: cur metric, precision: 0.8559819413092551, recall: 0.8880562060889929, hmean: 0.8717241379310345, fps: 76.90633452340109 [2024/03/06 23:28:23] ppocr INFO: best metric, hmean: 0.8754595588235294, precision: 0.8592692828146143, recall: 0.892271662763466, fps: 77.7098080678451, best_epoch: 60 [2024/03/06 23:28:25] ppocr INFO: epoch: [66/200], global_step: 1700, lr: 0.000034, loss: 0.002503, avg_reader_cost: 1.39954 s, avg_batch_cost: 1.53781 s, avg_samples: 8.0, ips: 5.20221 samples/s, eta: 0:39:01 [2024/03/06 23:28:28] ppocr INFO: epoch: [66/200], global_step: 1710, lr: 0.000034, loss: 0.002121, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13656 s, avg_samples: 8.0, ips: 58.58060 samples/s, eta: 0:38:43 [2024/03/06 23:28:29] ppocr INFO: cur metric, precision: 0.8491744756804998, recall: 0.8913348946135832, hmean: 0.8697440585009141, fps: 78.5226023698603 [2024/03/06 23:28:29] ppocr INFO: best metric, hmean: 0.8754595588235294, precision: 0.8592692828146143, recall: 0.892271662763466, fps: 77.7098080678451, best_epoch: 60 [2024/03/06 23:28:31] ppocr INFO: epoch: [66/200], global_step: 1716, lr: 0.000034, loss: 0.002195, avg_reader_cost: 0.00013 s, avg_batch_cost: 0.07430 s, avg_samples: 4.3, ips: 57.86966 samples/s, eta: 0:38:33 [2024/03/06 23:28:44] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:28:46] ppocr INFO: epoch: [67/200], global_step: 1720, lr: 0.000034, loss: 0.002175, avg_reader_cost: 1.35608 s, avg_batch_cost: 1.41383 s, avg_samples: 3.2, ips: 2.26336 samples/s, eta: 0:38:53 [2024/03/06 23:28:49] ppocr INFO: cur metric, precision: 0.8536147283340817, recall: 0.8903981264637002, hmean: 0.8716185236130214, fps: 78.29238487211884 [2024/03/06 23:28:49] ppocr INFO: best metric, hmean: 0.8754595588235294, precision: 0.8592692828146143, recall: 0.892271662763466, fps: 77.7098080678451, best_epoch: 60 [2024/03/06 23:28:50] ppocr INFO: epoch: [67/200], global_step: 1730, lr: 0.000034, loss: 0.002011, avg_reader_cost: 0.00037 s, avg_batch_cost: 0.13827 s, avg_samples: 8.0, ips: 57.85691 samples/s, eta: 0:38:36 [2024/03/06 23:28:52] ppocr INFO: epoch: [67/200], global_step: 1740, lr: 0.000034, loss: 0.001755, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13695 s, avg_samples: 8.0, ips: 58.41373 samples/s, eta: 0:38:19 [2024/03/06 23:28:53] ppocr INFO: epoch: [67/200], global_step: 1742, lr: 0.000034, loss: 0.001770, avg_reader_cost: 0.00004 s, avg_batch_cost: 0.01956 s, avg_samples: 1.1, ips: 56.24845 samples/s, eta: 0:38:15 [2024/03/06 23:29:06] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:29:09] ppocr INFO: cur metric, precision: 0.8576576576576577, recall: 0.8918032786885246, hmean: 0.8743972445464983, fps: 78.06093050917697 [2024/03/06 23:29:09] ppocr INFO: best metric, hmean: 0.8754595588235294, precision: 0.8592692828146143, recall: 0.892271662763466, fps: 77.7098080678451, best_epoch: 60 [2024/03/06 23:29:10] ppocr INFO: epoch: [68/200], global_step: 1750, lr: 0.000034, loss: 0.001590, avg_reader_cost: 1.33939 s, avg_batch_cost: 1.45009 s, avg_samples: 6.4, ips: 4.41351 samples/s, eta: 0:38:28 [2024/03/06 23:29:13] ppocr INFO: epoch: [68/200], global_step: 1760, lr: 0.000034, loss: 0.002229, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13708 s, avg_samples: 8.0, ips: 58.36056 samples/s, eta: 0:38:11 [2024/03/06 23:29:16] ppocr INFO: cur metric, precision: 0.8592057761732852, recall: 0.8918032786885246, hmean: 0.8752011031946679, fps: 77.88363980282297 [2024/03/06 23:29:16] ppocr INFO: best metric, hmean: 0.8754595588235294, precision: 0.8592692828146143, recall: 0.892271662763466, fps: 77.7098080678451, best_epoch: 60 [2024/03/06 23:29:16] ppocr INFO: epoch: [68/200], global_step: 1768, lr: 0.000034, loss: 0.002032, avg_reader_cost: 0.00019 s, avg_batch_cost: 0.10192 s, avg_samples: 5.9, ips: 57.88820 samples/s, eta: 0:37:57 [2024/03/06 23:29:29] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:29:30] ppocr INFO: epoch: [69/200], global_step: 1770, lr: 0.000034, loss: 0.001904, avg_reader_cost: 1.32759 s, avg_batch_cost: 1.36070 s, avg_samples: 1.6, ips: 1.17586 samples/s, eta: 0:38:20 [2024/03/06 23:29:33] ppocr INFO: epoch: [69/200], global_step: 1780, lr: 0.000033, loss: 0.001521, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13842 s, avg_samples: 8.0, ips: 57.79606 samples/s, eta: 0:38:03 [2024/03/06 23:29:36] ppocr INFO: cur metric, precision: 0.8616493916178459, recall: 0.8955503512880562, hmean: 0.8782728525493799, fps: 77.16727932383255 [2024/03/06 23:30:02] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:30:02] ppocr INFO: best metric, hmean: 0.8782728525493799, precision: 0.8616493916178459, recall: 0.8955503512880562, fps: 77.16727932383255, best_epoch: 69 [2024/03/06 23:30:03] ppocr INFO: epoch: [69/200], global_step: 1790, lr: 0.000033, loss: 0.001683, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13771 s, avg_samples: 8.0, ips: 58.09249 samples/s, eta: 0:37:46 [2024/03/06 23:30:04] ppocr INFO: epoch: [69/200], global_step: 1794, lr: 0.000033, loss: 0.002017, avg_reader_cost: 0.00009 s, avg_batch_cost: 0.04695 s, avg_samples: 2.7, ips: 57.50410 samples/s, eta: 0:37:39 [2024/03/06 23:30:17] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:30:19] ppocr INFO: epoch: [70/200], global_step: 1800, lr: 0.000033, loss: 0.001694, avg_reader_cost: 1.39822 s, avg_batch_cost: 1.48408 s, avg_samples: 4.8, ips: 3.23433 samples/s, eta: 0:37:56 [2024/03/06 23:30:22] ppocr INFO: cur metric, precision: 0.8587494376968061, recall: 0.8941451990632319, hmean: 0.8760899495181276, fps: 78.12985430312253 [2024/03/06 23:30:22] ppocr INFO: best metric, hmean: 0.8782728525493799, precision: 0.8616493916178459, recall: 0.8955503512880562, fps: 77.16727932383255, best_epoch: 69 [2024/03/06 23:30:23] ppocr INFO: epoch: [70/200], global_step: 1810, lr: 0.000033, loss: 0.002767, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13687 s, avg_samples: 8.0, ips: 58.44791 samples/s, eta: 0:37:39 [2024/03/06 23:30:26] ppocr INFO: epoch: [70/200], global_step: 1820, lr: 0.000033, loss: 0.001597, avg_reader_cost: 0.00024 s, avg_batch_cost: 0.12804 s, avg_samples: 7.5, ips: 58.57596 samples/s, eta: 0:37:22 [2024/03/06 23:30:39] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:30:42] ppocr INFO: cur metric, precision: 0.8541387024608501, recall: 0.8941451990632319, hmean: 0.8736842105263158, fps: 77.42247340987373 [2024/03/06 23:30:42] ppocr INFO: best metric, hmean: 0.8782728525493799, precision: 0.8616493916178459, recall: 0.8955503512880562, fps: 77.16727932383255, best_epoch: 69 [2024/03/06 23:30:44] ppocr INFO: epoch: [71/200], global_step: 1830, lr: 0.000033, loss: 0.001877, avg_reader_cost: 1.33302 s, avg_batch_cost: 1.47420 s, avg_samples: 8.0, ips: 5.42666 samples/s, eta: 0:37:31 [2024/03/06 23:30:46] ppocr INFO: epoch: [71/200], global_step: 1840, lr: 0.000033, loss: 0.001643, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13726 s, avg_samples: 8.0, ips: 58.28232 samples/s, eta: 0:37:14 [2024/03/06 23:30:48] ppocr INFO: cur metric, precision: 0.8597203428055932, recall: 0.8927400468384075, hmean: 0.8759191176470588, fps: 78.02449823917097 [2024/03/06 23:30:48] ppocr INFO: best metric, hmean: 0.8782728525493799, precision: 0.8616493916178459, recall: 0.8955503512880562, fps: 77.16727932383255, best_epoch: 69 [2024/03/06 23:30:49] ppocr INFO: epoch: [71/200], global_step: 1846, lr: 0.000033, loss: 0.001618, avg_reader_cost: 0.00015 s, avg_batch_cost: 0.07411 s, avg_samples: 4.3, ips: 58.02212 samples/s, eta: 0:37:04 [2024/03/06 23:31:02] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:31:04] ppocr INFO: epoch: [72/200], global_step: 1850, lr: 0.000033, loss: 0.001618, avg_reader_cost: 1.34374 s, avg_batch_cost: 1.40154 s, avg_samples: 3.2, ips: 2.28320 samples/s, eta: 0:37:22 [2024/03/06 23:31:06] ppocr INFO: epoch: [72/200], global_step: 1860, lr: 0.000033, loss: 0.001536, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13711 s, avg_samples: 8.0, ips: 58.34813 samples/s, eta: 0:37:06 [2024/03/06 23:31:08] ppocr INFO: cur metric, precision: 0.8626919602529358, recall: 0.8946135831381733, hmean: 0.8783628420326512, fps: 77.70987205747635 [2024/03/06 23:31:42] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:31:42] ppocr INFO: best metric, hmean: 0.8783628420326512, precision: 0.8626919602529358, recall: 0.8946135831381733, fps: 77.70987205747635, best_epoch: 72 [2024/03/06 23:31:44] ppocr INFO: epoch: [72/200], global_step: 1870, lr: 0.000033, loss: 0.001653, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13727 s, avg_samples: 8.0, ips: 58.27977 samples/s, eta: 0:36:50 [2024/03/06 23:31:45] ppocr INFO: epoch: [72/200], global_step: 1872, lr: 0.000033, loss: 0.001296, avg_reader_cost: 0.00004 s, avg_batch_cost: 0.01955 s, avg_samples: 1.1, ips: 56.27363 samples/s, eta: 0:36:47 [2024/03/06 23:31:58] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:32:01] ppocr INFO: epoch: [73/200], global_step: 1880, lr: 0.000032, loss: 0.001286, avg_reader_cost: 1.38030 s, avg_batch_cost: 1.49092 s, avg_samples: 6.4, ips: 4.29265 samples/s, eta: 0:36:58 [2024/03/06 23:32:02] ppocr INFO: cur metric, precision: 0.8592692828146143, recall: 0.892271662763466, hmean: 0.8754595588235294, fps: 77.81566284879591 [2024/03/06 23:32:02] ppocr INFO: best metric, hmean: 0.8783628420326512, precision: 0.8626919602529358, recall: 0.8946135831381733, fps: 77.70987205747635, best_epoch: 72 [2024/03/06 23:32:05] ppocr INFO: epoch: [73/200], global_step: 1890, lr: 0.000032, loss: 0.001652, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13683 s, avg_samples: 8.0, ips: 58.46565 samples/s, eta: 0:36:42 [2024/03/06 23:32:07] ppocr INFO: epoch: [73/200], global_step: 1898, lr: 0.000032, loss: 0.001496, avg_reader_cost: 0.00019 s, avg_batch_cost: 0.10142 s, avg_samples: 5.9, ips: 58.17485 samples/s, eta: 0:36:30 [2024/03/06 23:32:20] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:32:21] ppocr INFO: epoch: [74/200], global_step: 1900, lr: 0.000032, loss: 0.001571, avg_reader_cost: 1.40793 s, avg_batch_cost: 1.43619 s, avg_samples: 1.6, ips: 1.11406 samples/s, eta: 0:36:51 [2024/03/06 23:32:23] ppocr INFO: cur metric, precision: 0.8613369467028004, recall: 0.8932084309133489, hmean: 0.8769832145320764, fps: 77.41923416585212 [2024/03/06 23:32:23] ppocr INFO: best metric, hmean: 0.8783628420326512, precision: 0.8626919602529358, recall: 0.8946135831381733, fps: 77.70987205747635, best_epoch: 72 [2024/03/06 23:32:26] ppocr INFO: epoch: [74/200], global_step: 1910, lr: 0.000032, loss: 0.001355, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13765 s, avg_samples: 8.0, ips: 58.11782 samples/s, eta: 0:36:35 [2024/03/06 23:32:29] ppocr INFO: cur metric, precision: 0.8615245827695084, recall: 0.8946135831381733, hmean: 0.8777573529411765, fps: 78.07859416593756 [2024/03/06 23:32:29] ppocr INFO: best metric, hmean: 0.8783628420326512, precision: 0.8626919602529358, recall: 0.8946135831381733, fps: 77.70987205747635, best_epoch: 72 [2024/03/06 23:32:30] ppocr INFO: epoch: [74/200], global_step: 1920, lr: 0.000032, loss: 0.001474, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13816 s, avg_samples: 8.0, ips: 57.90448 samples/s, eta: 0:36:19 [2024/03/06 23:32:31] ppocr INFO: epoch: [74/200], global_step: 1924, lr: 0.000032, loss: 0.001408, avg_reader_cost: 0.00010 s, avg_batch_cost: 0.04710 s, avg_samples: 2.7, ips: 57.32963 samples/s, eta: 0:36:13 [2024/03/06 23:32:44] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:32:46] ppocr INFO: epoch: [75/200], global_step: 1930, lr: 0.000032, loss: 0.001292, avg_reader_cost: 1.34156 s, avg_batch_cost: 1.42543 s, avg_samples: 4.8, ips: 3.36741 samples/s, eta: 0:36:26 [2024/03/06 23:32:49] ppocr INFO: cur metric, precision: 0.8633904418394951, recall: 0.8969555035128806, hmean: 0.879852974959798, fps: 77.37936921095819 [2024/03/06 23:33:15] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:33:15] ppocr INFO: best metric, hmean: 0.879852974959798, precision: 0.8633904418394951, recall: 0.8969555035128806, fps: 77.37936921095819, best_epoch: 75 [2024/03/06 23:33:15] ppocr INFO: epoch: [75/200], global_step: 1940, lr: 0.000032, loss: 0.001525, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13748 s, avg_samples: 8.0, ips: 58.19214 samples/s, eta: 0:36:11 [2024/03/06 23:33:18] ppocr INFO: epoch: [75/200], global_step: 1950, lr: 0.000032, loss: 0.001323, avg_reader_cost: 0.00026 s, avg_batch_cost: 0.12858 s, avg_samples: 7.5, ips: 58.32720 samples/s, eta: 0:35:55 [2024/03/06 23:33:31] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:33:35] ppocr INFO: cur metric, precision: 0.8629213483146068, recall: 0.8992974238875878, hmean: 0.8807339449541285, fps: 78.43961651197787 [2024/03/06 23:34:00] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:34:00] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:34:01] ppocr INFO: epoch: [76/200], global_step: 1960, lr: 0.000032, loss: 0.001383, avg_reader_cost: 1.34191 s, avg_batch_cost: 1.48202 s, avg_samples: 8.0, ips: 5.39804 samples/s, eta: 0:36:02 [2024/03/06 23:34:04] ppocr INFO: epoch: [76/200], global_step: 1970, lr: 0.000032, loss: 0.001187, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13700 s, avg_samples: 8.0, ips: 58.39309 samples/s, eta: 0:35:47 [2024/03/06 23:34:05] ppocr INFO: epoch: [76/200], global_step: 1976, lr: 0.000032, loss: 0.001194, avg_reader_cost: 0.00014 s, avg_batch_cost: 0.07438 s, avg_samples: 4.3, ips: 57.81228 samples/s, eta: 0:35:37 [2024/03/06 23:34:07] ppocr INFO: cur metric, precision: 0.8617117117117117, recall: 0.8960187353629977, hmean: 0.8785304247990815, fps: 78.25330291821003 [2024/03/06 23:34:07] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:34:20] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:34:22] ppocr INFO: epoch: [77/200], global_step: 1980, lr: 0.000032, loss: 0.001502, avg_reader_cost: 1.38385 s, avg_batch_cost: 1.44146 s, avg_samples: 3.2, ips: 2.21998 samples/s, eta: 0:35:54 [2024/03/06 23:34:24] ppocr INFO: epoch: [77/200], global_step: 1990, lr: 0.000031, loss: 0.001445, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13787 s, avg_samples: 8.0, ips: 58.02656 samples/s, eta: 0:35:39 [2024/03/06 23:34:27] ppocr INFO: cur metric, precision: 0.8626126126126126, recall: 0.8969555035128806, hmean: 0.8794489092996557, fps: 78.02685288458915 [2024/03/06 23:34:27] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:34:28] ppocr INFO: epoch: [77/200], global_step: 2000, lr: 0.000031, loss: 0.001543, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13729 s, avg_samples: 8.0, ips: 58.26943 samples/s, eta: 0:35:23 [2024/03/06 23:34:29] ppocr INFO: epoch: [77/200], global_step: 2002, lr: 0.000031, loss: 0.001322, avg_reader_cost: 0.00004 s, avg_batch_cost: 0.01966 s, avg_samples: 1.1, ips: 55.94813 samples/s, eta: 0:35:20 [2024/03/06 23:34:42] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:34:45] ppocr INFO: epoch: [78/200], global_step: 2010, lr: 0.000031, loss: 0.001364, avg_reader_cost: 1.35545 s, avg_batch_cost: 1.46736 s, avg_samples: 6.4, ips: 4.36157 samples/s, eta: 0:35:30 [2024/03/06 23:34:47] ppocr INFO: cur metric, precision: 0.8574630210667862, recall: 0.8960187353629977, hmean: 0.8763169949610627, fps: 77.90752572685511 [2024/03/06 23:34:47] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:34:49] ppocr INFO: epoch: [78/200], global_step: 2020, lr: 0.000031, loss: 0.001435, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13736 s, avg_samples: 8.0, ips: 58.24155 samples/s, eta: 0:35:15 [2024/03/06 23:34:51] ppocr INFO: epoch: [78/200], global_step: 2028, lr: 0.000031, loss: 0.001413, avg_reader_cost: 0.00021 s, avg_batch_cost: 0.10241 s, avg_samples: 5.9, ips: 57.61238 samples/s, eta: 0:35:03 [2024/03/06 23:35:04] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:35:05] ppocr INFO: epoch: [79/200], global_step: 2030, lr: 0.000031, loss: 0.001341, avg_reader_cost: 1.40401 s, avg_batch_cost: 1.43437 s, avg_samples: 1.6, ips: 1.11547 samples/s, eta: 0:35:22 [2024/03/06 23:35:08] ppocr INFO: cur metric, precision: 0.858363309352518, recall: 0.8941451990632319, hmean: 0.8758889653590273, fps: 77.82737454631823 [2024/03/06 23:35:08] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:35:10] ppocr INFO: epoch: [79/200], global_step: 2040, lr: 0.000031, loss: 0.001292, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13710 s, avg_samples: 8.0, ips: 58.35266 samples/s, eta: 0:35:07 [2024/03/06 23:35:12] ppocr INFO: epoch: [79/200], global_step: 2050, lr: 0.000031, loss: 0.001224, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13836 s, avg_samples: 8.0, ips: 57.82213 samples/s, eta: 0:34:52 [2024/03/06 23:35:14] ppocr INFO: cur metric, precision: 0.861123595505618, recall: 0.897423887587822, hmean: 0.8788990825688073, fps: 77.51773932221558 [2024/03/06 23:35:14] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:35:15] ppocr INFO: epoch: [79/200], global_step: 2054, lr: 0.000031, loss: 0.001323, avg_reader_cost: 0.00012 s, avg_batch_cost: 0.04718 s, avg_samples: 2.7, ips: 57.23275 samples/s, eta: 0:34:46 [2024/03/06 23:35:28] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:35:30] ppocr INFO: epoch: [80/200], global_step: 2060, lr: 0.000031, loss: 0.001429, avg_reader_cost: 1.34536 s, avg_batch_cost: 1.42919 s, avg_samples: 4.8, ips: 3.35854 samples/s, eta: 0:34:58 [2024/03/06 23:35:33] ppocr INFO: epoch: [80/200], global_step: 2070, lr: 0.000031, loss: 0.001273, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13691 s, avg_samples: 8.0, ips: 58.43205 samples/s, eta: 0:34:43 [2024/03/06 23:35:34] ppocr INFO: cur metric, precision: 0.8565042467590523, recall: 0.897423887587822, hmean: 0.8764867337602928, fps: 77.26207600632362 [2024/03/06 23:35:34] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:35:37] ppocr INFO: epoch: [80/200], global_step: 2080, lr: 0.000031, loss: 0.001839, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13029 s, avg_samples: 7.5, ips: 57.56517 samples/s, eta: 0:34:28 [2024/03/06 23:35:50] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:35:53] ppocr INFO: epoch: [81/200], global_step: 2090, lr: 0.000030, loss: 0.001419, avg_reader_cost: 1.33304 s, avg_batch_cost: 1.47276 s, avg_samples: 8.0, ips: 5.43197 samples/s, eta: 0:34:34 [2024/03/06 23:35:54] ppocr INFO: cur metric, precision: 0.8542691104157354, recall: 0.8950819672131147, hmean: 0.87419945105215, fps: 78.39335384850533 [2024/03/06 23:35:54] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:35:57] ppocr INFO: epoch: [81/200], global_step: 2100, lr: 0.000030, loss: 0.001368, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13687 s, avg_samples: 8.0, ips: 58.44826 samples/s, eta: 0:34:19 [2024/03/06 23:35:59] ppocr INFO: epoch: [81/200], global_step: 2106, lr: 0.000030, loss: 0.001527, avg_reader_cost: 0.00017 s, avg_batch_cost: 0.07442 s, avg_samples: 4.3, ips: 57.78367 samples/s, eta: 0:34:11 [2024/03/06 23:36:11] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:36:14] ppocr INFO: cur metric, precision: 0.8475637013857845, recall: 0.8880562060889929, hmean: 0.8673376029277219, fps: 77.6434436092267 [2024/03/06 23:36:14] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:36:15] ppocr INFO: epoch: [82/200], global_step: 2110, lr: 0.000030, loss: 0.001316, avg_reader_cost: 1.34780 s, avg_batch_cost: 1.40456 s, avg_samples: 3.2, ips: 2.27830 samples/s, eta: 0:34:25 [2024/03/06 23:36:17] ppocr INFO: epoch: [82/200], global_step: 2120, lr: 0.000030, loss: 0.001332, avg_reader_cost: 0.00035 s, avg_batch_cost: 0.13850 s, avg_samples: 8.0, ips: 57.76044 samples/s, eta: 0:34:10 [2024/03/06 23:36:21] ppocr INFO: cur metric, precision: 0.8488631297369594, recall: 0.8918032786885246, hmean: 0.8698035632708999, fps: 77.21280069512257 [2024/03/06 23:36:21] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:36:21] ppocr INFO: epoch: [82/200], global_step: 2130, lr: 0.000030, loss: 0.001207, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13823 s, avg_samples: 8.0, ips: 57.87579 samples/s, eta: 0:33:56 [2024/03/06 23:36:22] ppocr INFO: epoch: [82/200], global_step: 2132, lr: 0.000030, loss: 0.001372, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01956 s, avg_samples: 1.1, ips: 56.23419 samples/s, eta: 0:33:53 [2024/03/06 23:36:35] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:36:37] ppocr INFO: epoch: [83/200], global_step: 2140, lr: 0.000030, loss: 0.001485, avg_reader_cost: 1.31908 s, avg_batch_cost: 1.43196 s, avg_samples: 6.4, ips: 4.46940 samples/s, eta: 0:34:01 [2024/03/06 23:36:41] ppocr INFO: cur metric, precision: 0.8548387096774194, recall: 0.8936768149882904, hmean: 0.8738264254637051, fps: 78.48831638899239 [2024/03/06 23:36:41] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:36:41] ppocr INFO: epoch: [83/200], global_step: 2150, lr: 0.000030, loss: 0.001245, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13719 s, avg_samples: 8.0, ips: 58.31140 samples/s, eta: 0:33:46 [2024/03/06 23:36:43] ppocr INFO: epoch: [83/200], global_step: 2158, lr: 0.000030, loss: 0.001427, avg_reader_cost: 0.00023 s, avg_batch_cost: 0.10173 s, avg_samples: 5.9, ips: 57.99684 samples/s, eta: 0:33:35 [2024/03/06 23:36:56] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:36:57] ppocr INFO: epoch: [84/200], global_step: 2160, lr: 0.000030, loss: 0.001427, avg_reader_cost: 1.34269 s, avg_batch_cost: 1.37087 s, avg_samples: 1.6, ips: 1.16714 samples/s, eta: 0:33:51 [2024/03/06 23:37:01] ppocr INFO: cur metric, precision: 0.8518518518518519, recall: 0.8941451990632319, hmean: 0.8724862888482633, fps: 77.68658679189134 [2024/03/06 23:37:01] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:37:02] ppocr INFO: epoch: [84/200], global_step: 2170, lr: 0.000030, loss: 0.001268, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13762 s, avg_samples: 8.0, ips: 58.13313 samples/s, eta: 0:33:37 [2024/03/06 23:37:04] ppocr INFO: epoch: [84/200], global_step: 2180, lr: 0.000030, loss: 0.001167, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13665 s, avg_samples: 8.0, ips: 58.54523 samples/s, eta: 0:33:23 [2024/03/06 23:37:05] ppocr INFO: epoch: [84/200], global_step: 2184, lr: 0.000030, loss: 0.001166, avg_reader_cost: 0.00010 s, avg_batch_cost: 0.04711 s, avg_samples: 2.7, ips: 57.31298 samples/s, eta: 0:33:17 [2024/03/06 23:37:19] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:37:21] ppocr INFO: cur metric, precision: 0.8591992802519118, recall: 0.8946135831381733, hmean: 0.8765488756310235, fps: 77.56383460494338 [2024/03/06 23:37:21] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:37:22] ppocr INFO: epoch: [85/200], global_step: 2190, lr: 0.000029, loss: 0.001259, avg_reader_cost: 1.37906 s, avg_batch_cost: 1.46319 s, avg_samples: 4.8, ips: 3.28049 samples/s, eta: 0:33:28 [2024/03/06 23:37:25] ppocr INFO: epoch: [85/200], global_step: 2200, lr: 0.000029, loss: 0.001141, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13707 s, avg_samples: 8.0, ips: 58.36461 samples/s, eta: 0:33:14 [2024/03/06 23:37:28] ppocr INFO: cur metric, precision: 0.8584310189359784, recall: 0.8918032786885246, hmean: 0.8747989892028486, fps: 77.62134730495826 [2024/03/06 23:37:28] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:37:29] ppocr INFO: epoch: [85/200], global_step: 2210, lr: 0.000029, loss: 0.001171, avg_reader_cost: 0.00025 s, avg_batch_cost: 0.12882 s, avg_samples: 7.5, ips: 58.22134 samples/s, eta: 0:33:00 [2024/03/06 23:37:42] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:37:45] ppocr INFO: epoch: [86/200], global_step: 2220, lr: 0.000029, loss: 0.001175, avg_reader_cost: 1.31009 s, avg_batch_cost: 1.44901 s, avg_samples: 8.0, ips: 5.52101 samples/s, eta: 0:33:04 [2024/03/06 23:37:47] ppocr INFO: cur metric, precision: 0.8584269662921349, recall: 0.8946135831381733, hmean: 0.8761467889908257, fps: 78.26362143603522 [2024/03/06 23:37:47] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:37:49] ppocr INFO: epoch: [86/200], global_step: 2230, lr: 0.000029, loss: 0.001054, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13714 s, avg_samples: 8.0, ips: 58.33643 samples/s, eta: 0:32:50 [2024/03/06 23:37:51] ppocr INFO: epoch: [86/200], global_step: 2236, lr: 0.000029, loss: 0.001122, avg_reader_cost: 0.00018 s, avg_batch_cost: 0.07444 s, avg_samples: 4.3, ips: 57.76281 samples/s, eta: 0:32:42 [2024/03/06 23:38:03] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:38:05] ppocr INFO: epoch: [87/200], global_step: 2240, lr: 0.000029, loss: 0.001085, avg_reader_cost: 1.32587 s, avg_batch_cost: 1.38406 s, avg_samples: 3.2, ips: 2.31204 samples/s, eta: 0:32:54 [2024/03/06 23:38:07] ppocr INFO: cur metric, precision: 0.8619909502262444, recall: 0.892271662763466, hmean: 0.8768699654775605, fps: 76.67694747686818 [2024/03/06 23:38:07] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:38:09] ppocr INFO: epoch: [87/200], global_step: 2250, lr: 0.000029, loss: 0.001080, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13715 s, avg_samples: 8.0, ips: 58.33021 samples/s, eta: 0:32:41 [2024/03/06 23:38:12] ppocr INFO: epoch: [87/200], global_step: 2260, lr: 0.000029, loss: 0.001118, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13674 s, avg_samples: 8.0, ips: 58.50533 samples/s, eta: 0:32:27 [2024/03/06 23:38:14] ppocr INFO: cur metric, precision: 0.8561797752808988, recall: 0.892271662763466, hmean: 0.8738532110091742, fps: 77.4293656445785 [2024/03/06 23:38:14] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:38:14] ppocr INFO: epoch: [87/200], global_step: 2262, lr: 0.000029, loss: 0.001089, avg_reader_cost: 0.00006 s, avg_batch_cost: 0.02009 s, avg_samples: 1.1, ips: 54.75456 samples/s, eta: 0:32:24 [2024/03/06 23:38:27] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:38:29] ppocr INFO: epoch: [88/200], global_step: 2270, lr: 0.000029, loss: 0.000970, avg_reader_cost: 1.30911 s, avg_batch_cost: 1.41953 s, avg_samples: 6.4, ips: 4.50855 samples/s, eta: 0:32:31 [2024/03/06 23:38:32] ppocr INFO: epoch: [88/200], global_step: 2280, lr: 0.000029, loss: 0.000964, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13785 s, avg_samples: 8.0, ips: 58.03464 samples/s, eta: 0:32:17 [2024/03/06 23:38:33] ppocr INFO: cur metric, precision: 0.8554162936436884, recall: 0.8950819672131147, hmean: 0.8747997253376059, fps: 78.0813719945939 [2024/03/06 23:38:33] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:38:35] ppocr INFO: epoch: [88/200], global_step: 2288, lr: 0.000029, loss: 0.001058, avg_reader_cost: 0.00023 s, avg_batch_cost: 0.10154 s, avg_samples: 5.9, ips: 58.10254 samples/s, eta: 0:32:06 [2024/03/06 23:38:48] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:38:50] ppocr INFO: epoch: [89/200], global_step: 2290, lr: 0.000029, loss: 0.001114, avg_reader_cost: 1.36273 s, avg_batch_cost: 1.39278 s, avg_samples: 1.6, ips: 1.14879 samples/s, eta: 0:32:21 [2024/03/06 23:38:53] ppocr INFO: cur metric, precision: 0.8547736441057822, recall: 0.8932084309133489, hmean: 0.8735684837379752, fps: 78.14987888950996 [2024/03/06 23:38:53] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:38:54] ppocr INFO: epoch: [89/200], global_step: 2300, lr: 0.000028, loss: 0.001001, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13696 s, avg_samples: 8.0, ips: 58.41016 samples/s, eta: 0:32:08 [2024/03/06 23:38:56] ppocr INFO: epoch: [89/200], global_step: 2310, lr: 0.000028, loss: 0.001121, avg_reader_cost: 0.00024 s, avg_batch_cost: 0.13596 s, avg_samples: 8.0, ips: 58.84254 samples/s, eta: 0:31:54 [2024/03/06 23:38:57] ppocr INFO: epoch: [89/200], global_step: 2314, lr: 0.000028, loss: 0.001063, avg_reader_cost: 0.00009 s, avg_batch_cost: 0.04683 s, avg_samples: 2.7, ips: 57.65874 samples/s, eta: 0:31:49 [2024/03/06 23:39:10] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:39:13] ppocr INFO: cur metric, precision: 0.8547661870503597, recall: 0.8903981264637002, hmean: 0.8722183987153016, fps: 77.40297852533674 [2024/03/06 23:39:13] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:39:14] ppocr INFO: epoch: [90/200], global_step: 2320, lr: 0.000028, loss: 0.000971, avg_reader_cost: 1.32535 s, avg_batch_cost: 1.40901 s, avg_samples: 4.8, ips: 3.40665 samples/s, eta: 0:31:58 [2024/03/06 23:39:16] ppocr INFO: epoch: [90/200], global_step: 2330, lr: 0.000028, loss: 0.001068, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13727 s, avg_samples: 8.0, ips: 58.27760 samples/s, eta: 0:31:45 [2024/03/06 23:39:20] ppocr INFO: cur metric, precision: 0.8549618320610687, recall: 0.8918032786885246, hmean: 0.8729940394314534, fps: 77.5640896033928 [2024/03/06 23:39:20] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:39:21] ppocr INFO: epoch: [90/200], global_step: 2340, lr: 0.000028, loss: 0.001051, avg_reader_cost: 0.00025 s, avg_batch_cost: 0.12898 s, avg_samples: 7.5, ips: 58.14759 samples/s, eta: 0:31:31 [2024/03/06 23:39:33] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:39:37] ppocr INFO: epoch: [91/200], global_step: 2350, lr: 0.000028, loss: 0.001039, avg_reader_cost: 1.35537 s, avg_batch_cost: 1.49566 s, avg_samples: 8.0, ips: 5.34880 samples/s, eta: 0:31:35 [2024/03/06 23:39:40] ppocr INFO: cur metric, precision: 0.8529280286097451, recall: 0.8936768149882904, hmean: 0.8728270814272645, fps: 77.25347437390869 [2024/03/06 23:39:40] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:39:41] ppocr INFO: epoch: [91/200], global_step: 2360, lr: 0.000028, loss: 0.000923, avg_reader_cost: 0.00037 s, avg_batch_cost: 0.13724 s, avg_samples: 8.0, ips: 58.29071 samples/s, eta: 0:31:22 [2024/03/06 23:39:43] ppocr INFO: epoch: [91/200], global_step: 2366, lr: 0.000028, loss: 0.001032, avg_reader_cost: 0.00017 s, avg_batch_cost: 0.07458 s, avg_samples: 4.3, ips: 57.65613 samples/s, eta: 0:31:14 [2024/03/06 23:39:55] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:39:57] ppocr INFO: epoch: [92/200], global_step: 2370, lr: 0.000028, loss: 0.001026, avg_reader_cost: 1.34272 s, avg_batch_cost: 1.39886 s, avg_samples: 3.2, ips: 2.28757 samples/s, eta: 0:31:25 [2024/03/06 23:40:00] ppocr INFO: cur metric, precision: 0.8592692828146143, recall: 0.892271662763466, hmean: 0.8754595588235294, fps: 78.04450112077724 [2024/03/06 23:40:00] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:40:02] ppocr INFO: epoch: [92/200], global_step: 2380, lr: 0.000028, loss: 0.000984, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13744 s, avg_samples: 8.0, ips: 58.20563 samples/s, eta: 0:31:12 [2024/03/06 23:40:04] ppocr INFO: epoch: [92/200], global_step: 2390, lr: 0.000028, loss: 0.001093, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13672 s, avg_samples: 8.0, ips: 58.51481 samples/s, eta: 0:30:59 [2024/03/06 23:40:05] ppocr INFO: epoch: [92/200], global_step: 2392, lr: 0.000028, loss: 0.001028, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01967 s, avg_samples: 1.1, ips: 55.93029 samples/s, eta: 0:30:56 [2024/03/06 23:40:20] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:40:23] ppocr INFO: cur metric, precision: 0.8670309653916212, recall: 0.8918032786885246, hmean: 0.8792426691295314, fps: 78.71414111968411 [2024/03/06 23:40:23] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:40:24] ppocr INFO: epoch: [93/200], global_step: 2400, lr: 0.000027, loss: 0.001024, avg_reader_cost: 1.55405 s, avg_batch_cost: 1.66554 s, avg_samples: 6.4, ips: 3.84260 samples/s, eta: 0:31:04 [2024/03/06 23:40:27] ppocr INFO: epoch: [93/200], global_step: 2410, lr: 0.000027, loss: 0.001144, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13745 s, avg_samples: 8.0, ips: 58.20216 samples/s, eta: 0:30:52 [2024/03/06 23:40:29] ppocr INFO: cur metric, precision: 0.864376130198915, recall: 0.8955503512880562, hmean: 0.8796871405567057, fps: 78.33079069643904 [2024/03/06 23:40:29] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:40:31] ppocr INFO: epoch: [93/200], global_step: 2418, lr: 0.000027, loss: 0.001447, avg_reader_cost: 0.00022 s, avg_batch_cost: 0.10194 s, avg_samples: 5.9, ips: 57.87795 samples/s, eta: 0:30:41 [2024/03/06 23:40:43] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:40:44] ppocr INFO: epoch: [94/200], global_step: 2420, lr: 0.000027, loss: 0.001373, avg_reader_cost: 1.32849 s, avg_batch_cost: 1.35755 s, avg_samples: 1.6, ips: 1.17859 samples/s, eta: 0:30:54 [2024/03/06 23:40:47] ppocr INFO: epoch: [94/200], global_step: 2430, lr: 0.000027, loss: 0.001004, avg_reader_cost: 0.00036 s, avg_batch_cost: 0.13817 s, avg_samples: 8.0, ips: 57.89930 samples/s, eta: 0:30:41 [2024/03/06 23:40:49] ppocr INFO: cur metric, precision: 0.855863921217547, recall: 0.8955503512880562, hmean: 0.8752574959945068, fps: 78.38876313964258 [2024/03/06 23:40:49] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:40:51] ppocr INFO: epoch: [94/200], global_step: 2440, lr: 0.000027, loss: 0.001194, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13728 s, avg_samples: 8.0, ips: 58.27539 samples/s, eta: 0:30:29 [2024/03/06 23:40:52] ppocr INFO: epoch: [94/200], global_step: 2444, lr: 0.000027, loss: 0.001163, avg_reader_cost: 0.00010 s, avg_batch_cost: 0.04682 s, avg_samples: 2.7, ips: 57.66905 samples/s, eta: 0:30:24 [2024/03/06 23:41:05] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:41:07] ppocr INFO: epoch: [95/200], global_step: 2450, lr: 0.000027, loss: 0.001074, avg_reader_cost: 1.33666 s, avg_batch_cost: 1.42079 s, avg_samples: 4.8, ips: 3.37839 samples/s, eta: 0:30:31 [2024/03/06 23:41:09] ppocr INFO: cur metric, precision: 0.858754512635379, recall: 0.8913348946135832, hmean: 0.8747414387497128, fps: 78.49768491658588 [2024/03/06 23:41:09] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:41:11] ppocr INFO: epoch: [95/200], global_step: 2460, lr: 0.000027, loss: 0.001018, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13672 s, avg_samples: 8.0, ips: 58.51387 samples/s, eta: 0:30:19 [2024/03/06 23:41:14] ppocr INFO: epoch: [95/200], global_step: 2470, lr: 0.000027, loss: 0.001120, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.12965 s, avg_samples: 7.5, ips: 57.84661 samples/s, eta: 0:30:06 [2024/03/06 23:41:15] ppocr INFO: cur metric, precision: 0.8606224627875507, recall: 0.8936768149882904, hmean: 0.8768382352941176, fps: 77.59677515504458 [2024/03/06 23:41:15] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:41:28] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:41:31] ppocr INFO: epoch: [96/200], global_step: 2480, lr: 0.000027, loss: 0.000996, avg_reader_cost: 1.30855 s, avg_batch_cost: 1.44670 s, avg_samples: 8.0, ips: 5.52983 samples/s, eta: 0:30:08 [2024/03/06 23:41:35] ppocr INFO: cur metric, precision: 0.8642759872900591, recall: 0.8918032786885246, hmean: 0.8778238819732596, fps: 77.64635027307747 [2024/03/06 23:41:35] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:41:35] ppocr INFO: epoch: [96/200], global_step: 2490, lr: 0.000027, loss: 0.001130, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13659 s, avg_samples: 8.0, ips: 58.57114 samples/s, eta: 0:29:56 [2024/03/06 23:41:37] ppocr INFO: epoch: [96/200], global_step: 2496, lr: 0.000027, loss: 0.001126, avg_reader_cost: 0.00015 s, avg_batch_cost: 0.07407 s, avg_samples: 4.3, ips: 58.05018 samples/s, eta: 0:29:48 [2024/03/06 23:41:49] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:41:51] ppocr INFO: epoch: [97/200], global_step: 2500, lr: 0.000027, loss: 0.000985, avg_reader_cost: 1.31850 s, avg_batch_cost: 1.37584 s, avg_samples: 3.2, ips: 2.32584 samples/s, eta: 0:29:58 [2024/03/06 23:41:55] ppocr INFO: cur metric, precision: 0.856757970363718, recall: 0.8936768149882904, hmean: 0.874828060522696, fps: 78.65181892849091 [2024/03/06 23:41:55] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:41:55] ppocr INFO: epoch: [97/200], global_step: 2510, lr: 0.000026, loss: 0.001065, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13723 s, avg_samples: 8.0, ips: 58.29753 samples/s, eta: 0:29:45 [2024/03/06 23:41:58] ppocr INFO: epoch: [97/200], global_step: 2520, lr: 0.000026, loss: 0.001056, avg_reader_cost: 0.00026 s, avg_batch_cost: 0.13640 s, avg_samples: 8.0, ips: 58.65144 samples/s, eta: 0:29:33 [2024/03/06 23:41:58] ppocr INFO: epoch: [97/200], global_step: 2522, lr: 0.000026, loss: 0.001022, avg_reader_cost: 0.00006 s, avg_batch_cost: 0.01975 s, avg_samples: 1.1, ips: 55.70064 samples/s, eta: 0:29:31 [2024/03/06 23:42:11] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:42:14] ppocr INFO: cur metric, precision: 0.8612115732368897, recall: 0.892271662763466, hmean: 0.8764665286404417, fps: 77.67264790087528 [2024/03/06 23:42:14] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:42:15] ppocr INFO: epoch: [98/200], global_step: 2530, lr: 0.000026, loss: 0.001017, avg_reader_cost: 1.32311 s, avg_batch_cost: 1.43396 s, avg_samples: 6.4, ips: 4.46315 samples/s, eta: 0:29:35 [2024/03/06 23:42:18] ppocr INFO: epoch: [98/200], global_step: 2540, lr: 0.000026, loss: 0.001079, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13698 s, avg_samples: 8.0, ips: 58.40436 samples/s, eta: 0:29:23 [2024/03/06 23:42:21] ppocr INFO: cur metric, precision: 0.8575906851768921, recall: 0.8969555035128806, hmean: 0.8768315018315018, fps: 77.36274978757834 [2024/03/06 23:42:21] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:42:22] ppocr INFO: epoch: [98/200], global_step: 2548, lr: 0.000026, loss: 0.001043, avg_reader_cost: 0.00023 s, avg_batch_cost: 0.10241 s, avg_samples: 5.9, ips: 57.60998 samples/s, eta: 0:29:13 [2024/03/06 23:42:34] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:42:35] ppocr INFO: epoch: [99/200], global_step: 2550, lr: 0.000026, loss: 0.001043, avg_reader_cost: 1.32308 s, avg_batch_cost: 1.35357 s, avg_samples: 1.6, ips: 1.18206 samples/s, eta: 0:29:24 [2024/03/06 23:42:38] ppocr INFO: epoch: [99/200], global_step: 2560, lr: 0.000026, loss: 0.001462, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13754 s, avg_samples: 8.0, ips: 58.16541 samples/s, eta: 0:29:12 [2024/03/06 23:42:41] ppocr INFO: cur metric, precision: 0.8585541086663673, recall: 0.8955503512880562, hmean: 0.8766620816139387, fps: 77.66357112966321 [2024/03/06 23:42:41] ppocr INFO: best metric, hmean: 0.8807339449541285, precision: 0.8629213483146068, recall: 0.8992974238875878, fps: 78.43961651197787, best_epoch: 76 [2024/03/06 23:42:42] ppocr INFO: epoch: [99/200], global_step: 2570, lr: 0.000026, loss: 0.000971, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13735 s, avg_samples: 8.0, ips: 58.24649 samples/s, eta: 0:29:00 [2024/03/06 23:42:43] ppocr INFO: epoch: [99/200], global_step: 2574, lr: 0.000026, loss: 0.000939, avg_reader_cost: 0.00010 s, avg_batch_cost: 0.04696 s, avg_samples: 2.7, ips: 57.49417 samples/s, eta: 0:28:55 [2024/03/06 23:42:56] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:42:58] ppocr INFO: epoch: [100/200], global_step: 2580, lr: 0.000026, loss: 0.000987, avg_reader_cost: 1.33413 s, avg_batch_cost: 1.41884 s, avg_samples: 4.8, ips: 3.38305 samples/s, eta: 0:29:02 [2024/03/06 23:43:01] ppocr INFO: cur metric, precision: 0.8660633484162896, recall: 0.8964871194379391, hmean: 0.8810126582278481, fps: 77.56855234768314 [2024/03/06 23:43:27] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:43:27] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:43:29] ppocr INFO: epoch: [100/200], global_step: 2590, lr: 0.000026, loss: 0.001181, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13970 s, avg_samples: 8.0, ips: 57.26703 samples/s, eta: 0:28:50 [2024/03/06 23:43:32] ppocr INFO: epoch: [100/200], global_step: 2600, lr: 0.000026, loss: 0.001303, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.12891 s, avg_samples: 7.5, ips: 58.17797 samples/s, eta: 0:28:38 [2024/03/06 23:43:45] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:43:47] ppocr INFO: cur metric, precision: 0.8676671214188267, recall: 0.8936768149882904, hmean: 0.8804799261652053, fps: 78.18697897766532 [2024/03/06 23:43:47] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:43:49] ppocr INFO: epoch: [101/200], global_step: 2610, lr: 0.000025, loss: 0.002554, avg_reader_cost: 1.36504 s, avg_batch_cost: 1.50400 s, avg_samples: 8.0, ips: 5.31916 samples/s, eta: 0:28:39 [2024/03/06 23:43:52] ppocr INFO: epoch: [101/200], global_step: 2620, lr: 0.000025, loss: 0.001640, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13741 s, avg_samples: 8.0, ips: 58.21978 samples/s, eta: 0:28:28 [2024/03/06 23:43:54] ppocr INFO: cur metric, precision: 0.8571428571428571, recall: 0.8992974238875878, hmean: 0.8777142857142857, fps: 78.07219945126332 [2024/03/06 23:43:54] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:43:55] ppocr INFO: epoch: [101/200], global_step: 2626, lr: 0.000025, loss: 0.001112, avg_reader_cost: 0.00016 s, avg_batch_cost: 0.07411 s, avg_samples: 4.3, ips: 58.02219 samples/s, eta: 0:28:21 [2024/03/06 23:44:08] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:44:10] ppocr INFO: epoch: [102/200], global_step: 2630, lr: 0.000025, loss: 0.001086, avg_reader_cost: 1.35239 s, avg_batch_cost: 1.40977 s, avg_samples: 3.2, ips: 2.26987 samples/s, eta: 0:28:29 [2024/03/06 23:44:12] ppocr INFO: epoch: [102/200], global_step: 2640, lr: 0.000025, loss: 0.001191, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13662 s, avg_samples: 8.0, ips: 58.55736 samples/s, eta: 0:28:17 [2024/03/06 23:44:14] ppocr INFO: cur metric, precision: 0.8500447627573858, recall: 0.8894613583138173, hmean: 0.8693064774547952, fps: 77.64845853906579 [2024/03/06 23:44:14] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:44:17] ppocr INFO: epoch: [102/200], global_step: 2650, lr: 0.000025, loss: 0.001860, avg_reader_cost: 0.00026 s, avg_batch_cost: 0.13718 s, avg_samples: 8.0, ips: 58.31773 samples/s, eta: 0:28:06 [2024/03/06 23:44:17] ppocr INFO: epoch: [102/200], global_step: 2652, lr: 0.000025, loss: 0.001431, avg_reader_cost: 0.00004 s, avg_batch_cost: 0.01968 s, avg_samples: 1.1, ips: 55.89377 samples/s, eta: 0:28:03 [2024/03/06 23:44:30] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:44:33] ppocr INFO: epoch: [103/200], global_step: 2660, lr: 0.000025, loss: 0.001088, avg_reader_cost: 1.34170 s, avg_batch_cost: 1.45358 s, avg_samples: 6.4, ips: 4.40292 samples/s, eta: 0:28:07 [2024/03/06 23:44:34] ppocr INFO: cur metric, precision: 0.8474955277280859, recall: 0.8875878220140515, hmean: 0.867078471745596, fps: 78.14754916939313 [2024/03/06 23:44:34] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:44:37] ppocr INFO: epoch: [103/200], global_step: 2670, lr: 0.000025, loss: 0.001272, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13685 s, avg_samples: 8.0, ips: 58.45801 samples/s, eta: 0:27:55 [2024/03/06 23:44:39] ppocr INFO: epoch: [103/200], global_step: 2678, lr: 0.000025, loss: 0.000902, avg_reader_cost: 0.00022 s, avg_batch_cost: 0.10188 s, avg_samples: 5.9, ips: 57.91055 samples/s, eta: 0:27:46 [2024/03/06 23:44:54] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:44:56] ppocr INFO: cur metric, precision: 0.8489208633093526, recall: 0.8843091334894614, hmean: 0.8662537279192476, fps: 78.44209408129908 [2024/03/06 23:44:56] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:44:56] ppocr INFO: epoch: [104/200], global_step: 2680, lr: 0.000025, loss: 0.000924, avg_reader_cost: 1.52179 s, avg_batch_cost: 1.55201 s, avg_samples: 1.6, ips: 1.03092 samples/s, eta: 0:27:58 [2024/03/06 23:44:59] ppocr INFO: epoch: [104/200], global_step: 2690, lr: 0.000025, loss: 0.001023, avg_reader_cost: 0.00035 s, avg_batch_cost: 0.13735 s, avg_samples: 8.0, ips: 58.24353 samples/s, eta: 0:27:46 [2024/03/06 23:45:03] ppocr INFO: cur metric, precision: 0.8521505376344086, recall: 0.8908665105386416, hmean: 0.8710785436226243, fps: 78.31665219229653 [2024/03/06 23:45:03] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:45:03] ppocr INFO: epoch: [104/200], global_step: 2700, lr: 0.000025, loss: 0.001236, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13799 s, avg_samples: 8.0, ips: 57.97392 samples/s, eta: 0:27:35 [2024/03/06 23:45:04] ppocr INFO: epoch: [104/200], global_step: 2704, lr: 0.000025, loss: 0.001236, avg_reader_cost: 0.00012 s, avg_batch_cost: 0.04705 s, avg_samples: 2.7, ips: 57.38451 samples/s, eta: 0:27:30 [2024/03/06 23:45:17] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:45:20] ppocr INFO: epoch: [105/200], global_step: 2710, lr: 0.000024, loss: 0.002574, avg_reader_cost: 1.37946 s, avg_batch_cost: 1.46311 s, avg_samples: 4.8, ips: 3.28069 samples/s, eta: 0:27:36 [2024/03/06 23:45:23] ppocr INFO: cur metric, precision: 0.8695251267865376, recall: 0.8833723653395784, hmean: 0.8763940520446096, fps: 78.01624197542499 [2024/03/06 23:45:23] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:45:24] ppocr INFO: epoch: [105/200], global_step: 2720, lr: 0.000024, loss: 0.003103, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13715 s, avg_samples: 8.0, ips: 58.33181 samples/s, eta: 0:27:24 [2024/03/06 23:45:26] ppocr INFO: epoch: [105/200], global_step: 2730, lr: 0.000024, loss: 0.001814, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.12911 s, avg_samples: 7.5, ips: 58.08789 samples/s, eta: 0:27:13 [2024/03/06 23:45:39] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:45:43] ppocr INFO: cur metric, precision: 0.8608576642335767, recall: 0.88384074941452, hmean: 0.8721978275941762, fps: 78.26874925875458 [2024/03/06 23:45:43] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:45:44] ppocr INFO: epoch: [106/200], global_step: 2740, lr: 0.000024, loss: 0.002576, avg_reader_cost: 1.33694 s, avg_batch_cost: 1.47672 s, avg_samples: 8.0, ips: 5.41741 samples/s, eta: 0:27:14 [2024/03/06 23:45:47] ppocr INFO: epoch: [106/200], global_step: 2750, lr: 0.000024, loss: 0.004387, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13707 s, avg_samples: 8.0, ips: 58.36405 samples/s, eta: 0:27:02 [2024/03/06 23:45:50] ppocr INFO: cur metric, precision: 0.8543254146122815, recall: 0.8927400468384075, hmean: 0.8731103985341274, fps: 78.38404275862928 [2024/03/06 23:45:50] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:45:50] ppocr INFO: epoch: [106/200], global_step: 2756, lr: 0.000024, loss: 0.001815, avg_reader_cost: 0.00013 s, avg_batch_cost: 0.07466 s, avg_samples: 4.3, ips: 57.59094 samples/s, eta: 0:26:55 [2024/03/06 23:46:03] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:46:04] ppocr INFO: epoch: [107/200], global_step: 2760, lr: 0.000024, loss: 0.001559, avg_reader_cost: 1.36338 s, avg_batch_cost: 1.42152 s, avg_samples: 3.2, ips: 2.25111 samples/s, eta: 0:27:03 [2024/03/06 23:46:07] ppocr INFO: epoch: [107/200], global_step: 2770, lr: 0.000024, loss: 0.001732, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13773 s, avg_samples: 8.0, ips: 58.08291 samples/s, eta: 0:26:52 [2024/03/06 23:46:10] ppocr INFO: cur metric, precision: 0.8605504587155963, recall: 0.8786885245901639, hmean: 0.8695249130938586, fps: 77.76718506325619 [2024/03/06 23:46:10] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:46:11] ppocr INFO: epoch: [107/200], global_step: 2780, lr: 0.000024, loss: 0.002126, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13654 s, avg_samples: 8.0, ips: 58.59140 samples/s, eta: 0:26:41 [2024/03/06 23:46:12] ppocr INFO: epoch: [107/200], global_step: 2782, lr: 0.000024, loss: 0.001541, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01973 s, avg_samples: 1.1, ips: 55.75961 samples/s, eta: 0:26:38 [2024/03/06 23:46:32] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:46:35] ppocr INFO: epoch: [108/200], global_step: 2790, lr: 0.000024, loss: 0.001919, avg_reader_cost: 2.09599 s, avg_batch_cost: 2.20847 s, avg_samples: 6.4, ips: 2.89794 samples/s, eta: 0:26:47 [2024/03/06 23:46:37] ppocr INFO: cur metric, precision: 0.8477678571428572, recall: 0.8894613583138173, hmean: 0.8681142857142857, fps: 78.34317827021601 [2024/03/06 23:46:37] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:46:39] ppocr INFO: epoch: [108/200], global_step: 2800, lr: 0.000024, loss: 0.005064, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13711 s, avg_samples: 8.0, ips: 58.34845 samples/s, eta: 0:26:36 [2024/03/06 23:46:41] ppocr INFO: epoch: [108/200], global_step: 2808, lr: 0.000024, loss: 0.005726, avg_reader_cost: 0.00022 s, avg_batch_cost: 0.10187 s, avg_samples: 5.9, ips: 57.91489 samples/s, eta: 0:26:27 [2024/03/06 23:46:57] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:46:58] ppocr INFO: epoch: [109/200], global_step: 2810, lr: 0.000024, loss: 0.005726, avg_reader_cost: 1.66206 s, avg_batch_cost: 1.69160 s, avg_samples: 1.6, ips: 0.94585 samples/s, eta: 0:26:39 [2024/03/06 23:47:00] ppocr INFO: cur metric, precision: 0.8567555354722096, recall: 0.8880562060889929, hmean: 0.8721251149954001, fps: 78.7312149373654 [2024/03/06 23:47:00] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:47:03] ppocr INFO: epoch: [109/200], global_step: 2820, lr: 0.000023, loss: 0.001870, avg_reader_cost: 0.00036 s, avg_batch_cost: 0.13820 s, avg_samples: 8.0, ips: 57.88694 samples/s, eta: 0:26:28 [2024/03/06 23:47:05] ppocr INFO: epoch: [109/200], global_step: 2830, lr: 0.000023, loss: 0.002373, avg_reader_cost: 0.00035 s, avg_batch_cost: 0.13776 s, avg_samples: 8.0, ips: 58.07154 samples/s, eta: 0:26:17 [2024/03/06 23:47:07] ppocr INFO: cur metric, precision: 0.855595667870036, recall: 0.8880562060889929, hmean: 0.8715237876350264, fps: 78.65909569225448 [2024/03/06 23:47:07] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:47:08] ppocr INFO: epoch: [109/200], global_step: 2834, lr: 0.000023, loss: 0.001790, avg_reader_cost: 0.00009 s, avg_batch_cost: 0.04663 s, avg_samples: 2.7, ips: 57.90577 samples/s, eta: 0:26:12 [2024/03/06 23:47:21] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:47:23] ppocr INFO: epoch: [110/200], global_step: 2840, lr: 0.000023, loss: 0.002119, avg_reader_cost: 1.36345 s, avg_batch_cost: 1.44778 s, avg_samples: 4.8, ips: 3.31543 samples/s, eta: 0:26:17 [2024/03/06 23:47:26] ppocr INFO: epoch: [110/200], global_step: 2850, lr: 0.000023, loss: 0.002259, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13681 s, avg_samples: 8.0, ips: 58.47441 samples/s, eta: 0:26:06 [2024/03/06 23:47:27] ppocr INFO: cur metric, precision: 0.8526363226678684, recall: 0.8861826697892272, hmean: 0.8690858980248048, fps: 77.35200171143192 [2024/03/06 23:47:27] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:47:30] ppocr INFO: epoch: [110/200], global_step: 2860, lr: 0.000023, loss: 0.001798, avg_reader_cost: 0.00026 s, avg_batch_cost: 0.12945 s, avg_samples: 7.5, ips: 57.93952 samples/s, eta: 0:25:55 [2024/03/06 23:47:43] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:47:47] ppocr INFO: cur metric, precision: 0.854438936457864, recall: 0.8880562060889929, hmean: 0.8709232889297198, fps: 78.67480104508644 [2024/03/06 23:47:47] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:47:47] ppocr INFO: epoch: [111/200], global_step: 2870, lr: 0.000023, loss: 0.001761, avg_reader_cost: 1.34634 s, avg_batch_cost: 1.48516 s, avg_samples: 8.0, ips: 5.38663 samples/s, eta: 0:25:55 [2024/03/06 23:47:50] ppocr INFO: epoch: [111/200], global_step: 2880, lr: 0.000023, loss: 0.001971, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13791 s, avg_samples: 8.0, ips: 58.00779 samples/s, eta: 0:25:44 [2024/03/06 23:47:52] ppocr INFO: epoch: [111/200], global_step: 2886, lr: 0.000023, loss: 0.001552, avg_reader_cost: 0.00017 s, avg_batch_cost: 0.07511 s, avg_samples: 4.3, ips: 57.24891 samples/s, eta: 0:25:37 [2024/03/06 23:48:05] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:48:07] ppocr INFO: cur metric, precision: 0.8519015659955257, recall: 0.8918032786885246, hmean: 0.8713958810068649, fps: 77.75879095141633 [2024/03/06 23:48:07] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:48:08] ppocr INFO: epoch: [112/200], global_step: 2890, lr: 0.000023, loss: 0.001733, avg_reader_cost: 1.34524 s, avg_batch_cost: 1.40303 s, avg_samples: 3.2, ips: 2.28078 samples/s, eta: 0:25:44 [2024/03/06 23:48:11] ppocr INFO: epoch: [112/200], global_step: 2900, lr: 0.000023, loss: 0.001297, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13718 s, avg_samples: 8.0, ips: 58.31877 samples/s, eta: 0:25:33 [2024/03/06 23:48:14] ppocr INFO: cur metric, precision: 0.8635953026196929, recall: 0.8955503512880562, hmean: 0.8792825936997011, fps: 76.82225644799438 [2024/03/06 23:48:14] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:48:15] ppocr INFO: epoch: [112/200], global_step: 2910, lr: 0.000023, loss: 0.001087, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13644 s, avg_samples: 8.0, ips: 58.63566 samples/s, eta: 0:25:22 [2024/03/06 23:48:15] ppocr INFO: epoch: [112/200], global_step: 2912, lr: 0.000023, loss: 0.001102, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.02001 s, avg_samples: 1.1, ips: 54.98393 samples/s, eta: 0:25:20 [2024/03/06 23:48:28] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:48:31] ppocr INFO: epoch: [113/200], global_step: 2920, lr: 0.000022, loss: 0.001921, avg_reader_cost: 1.33240 s, avg_batch_cost: 1.44518 s, avg_samples: 6.4, ips: 4.42853 samples/s, eta: 0:25:22 [2024/03/06 23:48:34] ppocr INFO: cur metric, precision: 0.8568202348690154, recall: 0.8885245901639345, hmean: 0.8723844561968269, fps: 78.02788510272741 [2024/03/06 23:48:34] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:48:35] ppocr INFO: epoch: [113/200], global_step: 2930, lr: 0.000022, loss: 0.001983, avg_reader_cost: 0.00035 s, avg_batch_cost: 0.13878 s, avg_samples: 8.0, ips: 57.64642 samples/s, eta: 0:25:11 [2024/03/06 23:48:37] ppocr INFO: epoch: [113/200], global_step: 2938, lr: 0.000022, loss: 0.001587, avg_reader_cost: 0.00024 s, avg_batch_cost: 0.10263 s, avg_samples: 5.9, ips: 57.48564 samples/s, eta: 0:25:02 [2024/03/06 23:48:50] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:48:51] ppocr INFO: epoch: [114/200], global_step: 2940, lr: 0.000022, loss: 0.001845, avg_reader_cost: 1.34688 s, avg_batch_cost: 1.37716 s, avg_samples: 1.6, ips: 1.16181 samples/s, eta: 0:25:11 [2024/03/06 23:48:54] ppocr INFO: cur metric, precision: 0.8586316266425011, recall: 0.8875878220140515, hmean: 0.8728696453247351, fps: 78.29413863193264 [2024/03/06 23:48:54] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:48:55] ppocr INFO: epoch: [114/200], global_step: 2950, lr: 0.000022, loss: 0.001668, avg_reader_cost: 0.00035 s, avg_batch_cost: 0.13822 s, avg_samples: 8.0, ips: 57.87878 samples/s, eta: 0:25:00 [2024/03/06 23:48:58] ppocr INFO: epoch: [114/200], global_step: 2960, lr: 0.000022, loss: 0.001319, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13792 s, avg_samples: 8.0, ips: 58.00486 samples/s, eta: 0:24:49 [2024/03/06 23:48:59] ppocr INFO: epoch: [114/200], global_step: 2964, lr: 0.000022, loss: 0.000955, avg_reader_cost: 0.00012 s, avg_batch_cost: 0.04818 s, avg_samples: 2.7, ips: 56.03771 samples/s, eta: 0:24:45 [2024/03/06 23:49:00] ppocr INFO: cur metric, precision: 0.8509680324178298, recall: 0.8852459016393442, hmean: 0.8677685950413224, fps: 78.20026069007463 [2024/03/06 23:49:00] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:49:13] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:49:16] ppocr INFO: epoch: [115/200], global_step: 2970, lr: 0.000022, loss: 0.001012, avg_reader_cost: 1.35500 s, avg_batch_cost: 1.43857 s, avg_samples: 4.8, ips: 3.33664 samples/s, eta: 0:24:49 [2024/03/06 23:49:18] ppocr INFO: epoch: [115/200], global_step: 2980, lr: 0.000022, loss: 0.001309, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13726 s, avg_samples: 8.0, ips: 58.28428 samples/s, eta: 0:24:38 [2024/03/06 23:49:21] ppocr INFO: cur metric, precision: 0.8597203428055932, recall: 0.8927400468384075, hmean: 0.8759191176470588, fps: 77.06012810169746 [2024/03/06 23:49:21] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:49:22] ppocr INFO: epoch: [115/200], global_step: 2990, lr: 0.000022, loss: 0.001123, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13039 s, avg_samples: 7.5, ips: 57.51802 samples/s, eta: 0:24:27 [2024/03/06 23:49:35] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:49:39] ppocr INFO: epoch: [116/200], global_step: 3000, lr: 0.000022, loss: 0.001481, avg_reader_cost: 1.34532 s, avg_batch_cost: 1.48518 s, avg_samples: 8.0, ips: 5.38655 samples/s, eta: 0:24:27 [2024/03/06 23:49:41] ppocr INFO: cur metric, precision: 0.8627272727272727, recall: 0.8889929742388759, hmean: 0.8756632064590542, fps: 78.35078832872483 [2024/03/06 23:49:41] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:49:43] ppocr INFO: epoch: [116/200], global_step: 3010, lr: 0.000022, loss: 0.001675, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13722 s, avg_samples: 8.0, ips: 58.29932 samples/s, eta: 0:24:16 [2024/03/06 23:49:44] ppocr INFO: epoch: [116/200], global_step: 3016, lr: 0.000022, loss: 0.001239, avg_reader_cost: 0.00018 s, avg_batch_cost: 0.07441 s, avg_samples: 4.3, ips: 57.78535 samples/s, eta: 0:24:10 [2024/03/06 23:49:57] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:49:59] ppocr INFO: epoch: [117/200], global_step: 3020, lr: 0.000022, loss: 0.001342, avg_reader_cost: 1.35257 s, avg_batch_cost: 1.40923 s, avg_samples: 3.2, ips: 2.27075 samples/s, eta: 0:24:16 [2024/03/06 23:50:01] ppocr INFO: cur metric, precision: 0.8582427536231884, recall: 0.8875878220140515, hmean: 0.8726686622150587, fps: 77.86230595651115 [2024/03/06 23:50:01] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:50:03] ppocr INFO: epoch: [117/200], global_step: 3030, lr: 0.000021, loss: 0.001012, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13714 s, avg_samples: 8.0, ips: 58.33544 samples/s, eta: 0:24:05 [2024/03/06 23:50:06] ppocr INFO: epoch: [117/200], global_step: 3040, lr: 0.000021, loss: 0.001367, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13721 s, avg_samples: 8.0, ips: 58.30422 samples/s, eta: 0:23:55 [2024/03/06 23:50:07] ppocr INFO: cur metric, precision: 0.8680365296803653, recall: 0.8903981264637002, hmean: 0.8790751445086704, fps: 77.7353803168662 [2024/03/06 23:50:07] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:50:08] ppocr INFO: epoch: [117/200], global_step: 3042, lr: 0.000021, loss: 0.001367, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01965 s, avg_samples: 1.1, ips: 55.98567 samples/s, eta: 0:23:53 [2024/03/06 23:50:21] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:50:24] ppocr INFO: epoch: [118/200], global_step: 3050, lr: 0.000021, loss: 0.000876, avg_reader_cost: 1.36479 s, avg_batch_cost: 1.47785 s, avg_samples: 6.4, ips: 4.33062 samples/s, eta: 0:23:54 [2024/03/06 23:50:27] ppocr INFO: cur metric, precision: 0.8669995460735361, recall: 0.8946135831381733, hmean: 0.880590133702167, fps: 78.45379945248845 [2024/03/06 23:50:27] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:50:28] ppocr INFO: epoch: [118/200], global_step: 3060, lr: 0.000021, loss: 0.000932, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13725 s, avg_samples: 8.0, ips: 58.28687 samples/s, eta: 0:23:44 [2024/03/06 23:50:30] ppocr INFO: epoch: [118/200], global_step: 3068, lr: 0.000021, loss: 0.000837, avg_reader_cost: 0.00021 s, avg_batch_cost: 0.10171 s, avg_samples: 5.9, ips: 58.00678 samples/s, eta: 0:23:35 [2024/03/06 23:50:43] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:50:44] ppocr INFO: epoch: [119/200], global_step: 3070, lr: 0.000021, loss: 0.000887, avg_reader_cost: 1.32968 s, avg_batch_cost: 1.35962 s, avg_samples: 1.6, ips: 1.17680 samples/s, eta: 0:23:42 [2024/03/06 23:50:47] ppocr INFO: cur metric, precision: 0.8674863387978142, recall: 0.892271662763466, hmean: 0.8797044562456708, fps: 78.34028423429406 [2024/03/06 23:50:47] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:50:48] ppocr INFO: epoch: [119/200], global_step: 3080, lr: 0.000021, loss: 0.001073, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13775 s, avg_samples: 8.0, ips: 58.07721 samples/s, eta: 0:23:32 [2024/03/06 23:50:51] ppocr INFO: epoch: [119/200], global_step: 3090, lr: 0.000021, loss: 0.000893, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13827 s, avg_samples: 8.0, ips: 57.85908 samples/s, eta: 0:23:22 [2024/03/06 23:50:52] ppocr INFO: epoch: [119/200], global_step: 3094, lr: 0.000021, loss: 0.000865, avg_reader_cost: 0.00010 s, avg_batch_cost: 0.04722 s, avg_samples: 2.7, ips: 57.17360 samples/s, eta: 0:23:18 [2024/03/06 23:51:04] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:51:07] ppocr INFO: cur metric, precision: 0.8631626642501132, recall: 0.892271662763466, hmean: 0.877475817595578, fps: 78.00012149829716 [2024/03/06 23:51:07] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:51:08] ppocr INFO: epoch: [120/200], global_step: 3100, lr: 0.000021, loss: 0.000860, avg_reader_cost: 1.34122 s, avg_batch_cost: 1.42662 s, avg_samples: 4.8, ips: 3.36460 samples/s, eta: 0:23:21 [2024/03/06 23:51:11] ppocr INFO: epoch: [120/200], global_step: 3110, lr: 0.000021, loss: 0.000832, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13735 s, avg_samples: 8.0, ips: 58.24631 samples/s, eta: 0:23:10 [2024/03/06 23:51:14] ppocr INFO: cur metric, precision: 0.8623646209386282, recall: 0.8950819672131147, hmean: 0.8784187543093541, fps: 77.50522946833122 [2024/03/06 23:51:14] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:51:15] ppocr INFO: epoch: [120/200], global_step: 3120, lr: 0.000021, loss: 0.000873, avg_reader_cost: 0.00026 s, avg_batch_cost: 0.12928 s, avg_samples: 7.5, ips: 58.01287 samples/s, eta: 0:23:00 [2024/03/06 23:51:27] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:51:31] ppocr INFO: epoch: [121/200], global_step: 3130, lr: 0.000020, loss: 0.000865, avg_reader_cost: 1.31913 s, avg_batch_cost: 1.45911 s, avg_samples: 8.0, ips: 5.48280 samples/s, eta: 0:22:59 [2024/03/06 23:51:34] ppocr INFO: cur metric, precision: 0.8601083032490975, recall: 0.8927400468384075, hmean: 0.8761204320845782, fps: 78.00292598255982 [2024/03/06 23:51:34] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:51:35] ppocr INFO: epoch: [121/200], global_step: 3140, lr: 0.000020, loss: 0.000818, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13696 s, avg_samples: 8.0, ips: 58.41142 samples/s, eta: 0:22:49 [2024/03/06 23:51:36] ppocr INFO: epoch: [121/200], global_step: 3146, lr: 0.000020, loss: 0.000857, avg_reader_cost: 0.00016 s, avg_batch_cost: 0.07416 s, avg_samples: 4.3, ips: 57.98255 samples/s, eta: 0:22:43 [2024/03/06 23:51:49] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:51:51] ppocr INFO: epoch: [122/200], global_step: 3150, lr: 0.000020, loss: 0.000887, avg_reader_cost: 1.34374 s, avg_batch_cost: 1.40247 s, avg_samples: 3.2, ips: 2.28168 samples/s, eta: 0:22:47 [2024/03/06 23:51:54] ppocr INFO: cur metric, precision: 0.8655156746933212, recall: 0.892271662763466, hmean: 0.878690036900369, fps: 77.40840689599735 [2024/03/06 23:51:54] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:51:55] ppocr INFO: epoch: [122/200], global_step: 3160, lr: 0.000020, loss: 0.000846, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13805 s, avg_samples: 8.0, ips: 57.95192 samples/s, eta: 0:22:37 [2024/03/06 23:51:58] ppocr INFO: epoch: [122/200], global_step: 3170, lr: 0.000020, loss: 0.000785, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13776 s, avg_samples: 8.0, ips: 58.07244 samples/s, eta: 0:22:27 [2024/03/06 23:51:58] ppocr INFO: epoch: [122/200], global_step: 3172, lr: 0.000020, loss: 0.000788, avg_reader_cost: 0.00006 s, avg_batch_cost: 0.01989 s, avg_samples: 1.1, ips: 55.29629 samples/s, eta: 0:22:25 [2024/03/06 23:52:11] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:52:14] ppocr INFO: cur metric, precision: 0.8563710040522288, recall: 0.8908665105386416, hmean: 0.8732782369146005, fps: 76.67532771421467 [2024/03/06 23:52:14] ppocr INFO: best metric, hmean: 0.8810126582278481, precision: 0.8660633484162896, recall: 0.8964871194379391, fps: 77.56855234768314, best_epoch: 100 [2024/03/06 23:52:15] ppocr INFO: epoch: [123/200], global_step: 3180, lr: 0.000020, loss: 0.000949, avg_reader_cost: 1.33559 s, avg_batch_cost: 1.44627 s, avg_samples: 6.4, ips: 4.42518 samples/s, eta: 0:22:26 [2024/03/06 23:52:18] ppocr INFO: epoch: [123/200], global_step: 3190, lr: 0.000020, loss: 0.001080, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13721 s, avg_samples: 8.0, ips: 58.30654 samples/s, eta: 0:22:16 [2024/03/06 23:52:20] ppocr INFO: cur metric, precision: 0.8737953189536485, recall: 0.8918032786885246, hmean: 0.8827074640704682, fps: 77.8446758026725 [2024/03/06 23:52:45] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:52:45] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:52:47] ppocr INFO: epoch: [123/200], global_step: 3198, lr: 0.000020, loss: 0.000854, avg_reader_cost: 0.00021 s, avg_batch_cost: 0.10343 s, avg_samples: 5.9, ips: 57.04145 samples/s, eta: 0:22:08 [2024/03/06 23:53:00] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:53:01] ppocr INFO: epoch: [124/200], global_step: 3200, lr: 0.000020, loss: 0.000911, avg_reader_cost: 1.37849 s, avg_batch_cost: 1.40816 s, avg_samples: 1.6, ips: 1.13623 samples/s, eta: 0:22:14 [2024/03/06 23:53:04] ppocr INFO: epoch: [124/200], global_step: 3210, lr: 0.000020, loss: 0.000845, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13714 s, avg_samples: 8.0, ips: 58.33512 samples/s, eta: 0:22:04 [2024/03/06 23:53:05] ppocr INFO: cur metric, precision: 0.8725355341586428, recall: 0.8913348946135832, hmean: 0.8818350324374421, fps: 77.97553448596393 [2024/03/06 23:53:05] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:53:08] ppocr INFO: epoch: [124/200], global_step: 3220, lr: 0.000020, loss: 0.001459, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13730 s, avg_samples: 8.0, ips: 58.26497 samples/s, eta: 0:21:54 [2024/03/06 23:53:09] ppocr INFO: epoch: [124/200], global_step: 3224, lr: 0.000020, loss: 0.000899, avg_reader_cost: 0.00010 s, avg_batch_cost: 0.04713 s, avg_samples: 2.7, ips: 57.28984 samples/s, eta: 0:21:50 [2024/03/06 23:53:24] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:53:26] ppocr INFO: epoch: [125/200], global_step: 3230, lr: 0.000019, loss: 0.000970, avg_reader_cost: 1.53743 s, avg_batch_cost: 1.62202 s, avg_samples: 4.8, ips: 2.95928 samples/s, eta: 0:21:54 [2024/03/06 23:53:27] ppocr INFO: cur metric, precision: 0.8656987295825771, recall: 0.8936768149882904, hmean: 0.8794653145886149, fps: 78.52198169076487 [2024/03/06 23:53:27] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:53:30] ppocr INFO: epoch: [125/200], global_step: 3240, lr: 0.000019, loss: 0.000813, avg_reader_cost: 0.00035 s, avg_batch_cost: 0.13708 s, avg_samples: 8.0, ips: 58.36166 samples/s, eta: 0:21:44 [2024/03/06 23:53:34] ppocr INFO: cur metric, precision: 0.8606224627875507, recall: 0.8936768149882904, hmean: 0.8768382352941176, fps: 78.23685732228239 [2024/03/06 23:53:34] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:53:34] ppocr INFO: epoch: [125/200], global_step: 3250, lr: 0.000019, loss: 0.000823, avg_reader_cost: 0.00025 s, avg_batch_cost: 0.13009 s, avg_samples: 7.5, ips: 57.65139 samples/s, eta: 0:21:34 [2024/03/06 23:53:47] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:53:51] ppocr INFO: epoch: [126/200], global_step: 3260, lr: 0.000019, loss: 0.001289, avg_reader_cost: 1.35793 s, avg_batch_cost: 1.49729 s, avg_samples: 8.0, ips: 5.34299 samples/s, eta: 0:21:32 [2024/03/06 23:53:54] ppocr INFO: cur metric, precision: 0.8603807796917498, recall: 0.8889929742388759, hmean: 0.8744528910389311, fps: 77.56354773369189 [2024/03/06 23:53:54] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:53:55] ppocr INFO: epoch: [126/200], global_step: 3270, lr: 0.000019, loss: 0.000865, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13715 s, avg_samples: 8.0, ips: 58.33146 samples/s, eta: 0:21:23 [2024/03/06 23:53:56] ppocr INFO: epoch: [126/200], global_step: 3276, lr: 0.000019, loss: 0.000767, avg_reader_cost: 0.00016 s, avg_batch_cost: 0.07425 s, avg_samples: 4.3, ips: 57.91552 samples/s, eta: 0:21:17 [2024/03/06 23:54:09] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:54:11] ppocr INFO: epoch: [127/200], global_step: 3280, lr: 0.000019, loss: 0.000759, avg_reader_cost: 1.34234 s, avg_batch_cost: 1.39902 s, avg_samples: 3.2, ips: 2.28732 samples/s, eta: 0:21:21 [2024/03/06 23:54:14] ppocr INFO: cur metric, precision: 0.8619909502262444, recall: 0.892271662763466, hmean: 0.8768699654775605, fps: 77.76436546479103 [2024/03/06 23:54:14] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:54:15] ppocr INFO: epoch: [127/200], global_step: 3290, lr: 0.000019, loss: 0.000817, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13755 s, avg_samples: 8.0, ips: 58.16219 samples/s, eta: 0:21:11 [2024/03/06 23:54:18] ppocr INFO: epoch: [127/200], global_step: 3300, lr: 0.000019, loss: 0.000788, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13695 s, avg_samples: 8.0, ips: 58.41404 samples/s, eta: 0:21:01 [2024/03/06 23:54:18] ppocr INFO: epoch: [127/200], global_step: 3302, lr: 0.000019, loss: 0.000751, avg_reader_cost: 0.00006 s, avg_batch_cost: 0.02050 s, avg_samples: 1.1, ips: 53.64845 samples/s, eta: 0:20:59 [2024/03/06 23:54:31] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:54:34] ppocr INFO: cur metric, precision: 0.8595378341640235, recall: 0.8885245901639345, hmean: 0.8737908797789036, fps: 77.56399397877779 [2024/03/06 23:54:34] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:54:35] ppocr INFO: epoch: [128/200], global_step: 3310, lr: 0.000019, loss: 0.000806, avg_reader_cost: 1.34496 s, avg_batch_cost: 1.45595 s, avg_samples: 6.4, ips: 4.39577 samples/s, eta: 0:20:59 [2024/03/06 23:54:38] ppocr INFO: epoch: [128/200], global_step: 3320, lr: 0.000019, loss: 0.000836, avg_reader_cost: 0.00038 s, avg_batch_cost: 0.13805 s, avg_samples: 8.0, ips: 57.94925 samples/s, eta: 0:20:50 [2024/03/06 23:54:41] ppocr INFO: cur metric, precision: 0.860655737704918, recall: 0.8852459016393442, hmean: 0.8727776495035787, fps: 77.72139190805714 [2024/03/06 23:54:41] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:54:41] ppocr INFO: epoch: [128/200], global_step: 3328, lr: 0.000019, loss: 0.001300, avg_reader_cost: 0.00022 s, avg_batch_cost: 0.10225 s, avg_samples: 5.9, ips: 57.70182 samples/s, eta: 0:20:42 [2024/03/06 23:54:55] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:54:56] ppocr INFO: epoch: [129/200], global_step: 3330, lr: 0.000019, loss: 0.001005, avg_reader_cost: 1.43225 s, avg_batch_cost: 1.46317 s, avg_samples: 1.6, ips: 1.09352 samples/s, eta: 0:20:48 [2024/03/06 23:54:59] ppocr INFO: epoch: [129/200], global_step: 3340, lr: 0.000018, loss: 0.000991, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.13666 s, avg_samples: 8.0, ips: 58.53936 samples/s, eta: 0:20:38 [2024/03/06 23:55:02] ppocr INFO: cur metric, precision: 0.8610985020426691, recall: 0.8885245901639345, hmean: 0.8745965882895345, fps: 77.39853481205367 [2024/03/06 23:55:02] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:55:04] ppocr INFO: epoch: [129/200], global_step: 3350, lr: 0.000018, loss: 0.001267, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13658 s, avg_samples: 8.0, ips: 58.57226 samples/s, eta: 0:20:29 [2024/03/06 23:55:04] ppocr INFO: epoch: [129/200], global_step: 3354, lr: 0.000018, loss: 0.001179, avg_reader_cost: 0.00010 s, avg_batch_cost: 0.04806 s, avg_samples: 2.7, ips: 56.18311 samples/s, eta: 0:20:25 [2024/03/06 23:55:19] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:55:22] ppocr INFO: epoch: [130/200], global_step: 3360, lr: 0.000018, loss: 0.001215, avg_reader_cost: 1.55002 s, avg_batch_cost: 1.63323 s, avg_samples: 4.8, ips: 2.93897 samples/s, eta: 0:20:28 [2024/03/06 23:55:24] ppocr INFO: cur metric, precision: 0.8596092685143116, recall: 0.8861826697892272, hmean: 0.8726937269372693, fps: 77.69234283907824 [2024/03/06 23:55:24] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:55:26] ppocr INFO: epoch: [130/200], global_step: 3370, lr: 0.000018, loss: 0.001263, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13708 s, avg_samples: 8.0, ips: 58.36166 samples/s, eta: 0:20:18 [2024/03/06 23:55:28] ppocr INFO: epoch: [130/200], global_step: 3380, lr: 0.000018, loss: 0.002965, avg_reader_cost: 0.00024 s, avg_batch_cost: 0.12870 s, avg_samples: 7.5, ips: 58.27516 samples/s, eta: 0:20:09 [2024/03/06 23:55:41] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:55:44] ppocr INFO: cur metric, precision: 0.8572068039391226, recall: 0.8969555035128806, hmean: 0.8766308079652094, fps: 78.19138411876706 [2024/03/06 23:55:44] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:55:46] ppocr INFO: epoch: [131/200], global_step: 3390, lr: 0.000018, loss: 0.001865, avg_reader_cost: 1.34455 s, avg_batch_cost: 1.48448 s, avg_samples: 8.0, ips: 5.38907 samples/s, eta: 0:20:06 [2024/03/06 23:55:49] ppocr INFO: epoch: [131/200], global_step: 3400, lr: 0.000018, loss: 0.000966, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13721 s, avg_samples: 8.0, ips: 58.30604 samples/s, eta: 0:19:57 [2024/03/06 23:55:51] ppocr INFO: cur metric, precision: 0.8607480847228481, recall: 0.8946135831381733, hmean: 0.8773541570969224, fps: 78.03449839812033 [2024/03/06 23:55:51] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:55:52] ppocr INFO: epoch: [131/200], global_step: 3406, lr: 0.000018, loss: 0.001729, avg_reader_cost: 0.00014 s, avg_batch_cost: 0.07465 s, avg_samples: 4.3, ips: 57.60240 samples/s, eta: 0:19:51 [2024/03/06 23:56:05] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:56:06] ppocr INFO: epoch: [132/200], global_step: 3410, lr: 0.000018, loss: 0.001563, avg_reader_cost: 1.31690 s, avg_batch_cost: 1.37291 s, avg_samples: 3.2, ips: 2.33081 samples/s, eta: 0:19:54 [2024/03/06 23:56:09] ppocr INFO: epoch: [132/200], global_step: 3420, lr: 0.000018, loss: 0.001341, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13783 s, avg_samples: 8.0, ips: 58.04443 samples/s, eta: 0:19:45 [2024/03/06 23:56:10] ppocr INFO: cur metric, precision: 0.8527305282005372, recall: 0.892271662763466, hmean: 0.8720531013962005, fps: 77.9026702008491 [2024/03/06 23:56:10] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:56:13] ppocr INFO: epoch: [132/200], global_step: 3430, lr: 0.000018, loss: 0.000942, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13617 s, avg_samples: 8.0, ips: 58.74849 samples/s, eta: 0:19:36 [2024/03/06 23:56:14] ppocr INFO: epoch: [132/200], global_step: 3432, lr: 0.000018, loss: 0.000862, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.02038 s, avg_samples: 1.1, ips: 53.97165 samples/s, eta: 0:19:34 [2024/03/06 23:56:26] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:56:30] ppocr INFO: cur metric, precision: 0.860633484162896, recall: 0.8908665105386416, hmean: 0.8754890678941312, fps: 78.12720238127268 [2024/03/06 23:56:30] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:56:30] ppocr INFO: epoch: [133/200], global_step: 3440, lr: 0.000017, loss: 0.000820, avg_reader_cost: 1.32533 s, avg_batch_cost: 1.43749 s, avg_samples: 6.4, ips: 4.45219 samples/s, eta: 0:19:33 [2024/03/06 23:56:33] ppocr INFO: epoch: [133/200], global_step: 3450, lr: 0.000017, loss: 0.000749, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13744 s, avg_samples: 8.0, ips: 58.20762 samples/s, eta: 0:19:24 [2024/03/06 23:56:35] ppocr INFO: epoch: [133/200], global_step: 3458, lr: 0.000017, loss: 0.000745, avg_reader_cost: 0.00017 s, avg_batch_cost: 0.10096 s, avg_samples: 5.9, ips: 58.44072 samples/s, eta: 0:19:16 [2024/03/06 23:56:37] ppocr INFO: cur metric, precision: 0.8636363636363636, recall: 0.8899297423887588, hmean: 0.8765859284890427, fps: 77.24449530133114 [2024/03/06 23:56:37] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:56:50] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:56:51] ppocr INFO: epoch: [134/200], global_step: 3460, lr: 0.000017, loss: 0.000745, avg_reader_cost: 1.33746 s, avg_batch_cost: 1.36639 s, avg_samples: 1.6, ips: 1.17097 samples/s, eta: 0:19:21 [2024/03/06 23:56:53] ppocr INFO: epoch: [134/200], global_step: 3470, lr: 0.000017, loss: 0.000762, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13750 s, avg_samples: 8.0, ips: 58.18166 samples/s, eta: 0:19:12 [2024/03/06 23:56:57] ppocr INFO: cur metric, precision: 0.8661524500907442, recall: 0.8941451990632319, hmean: 0.8799262502880849, fps: 78.20385724697461 [2024/03/06 23:56:57] ppocr INFO: best metric, hmean: 0.8827074640704682, precision: 0.8737953189536485, recall: 0.8918032786885246, fps: 77.8446758026725, best_epoch: 123 [2024/03/06 23:56:58] ppocr INFO: epoch: [134/200], global_step: 3480, lr: 0.000017, loss: 0.000733, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13739 s, avg_samples: 8.0, ips: 58.22807 samples/s, eta: 0:19:02 [2024/03/06 23:56:58] ppocr INFO: epoch: [134/200], global_step: 3484, lr: 0.000017, loss: 0.000721, avg_reader_cost: 0.00010 s, avg_batch_cost: 0.04682 s, avg_samples: 2.7, ips: 57.66849 samples/s, eta: 0:18:59 [2024/03/06 23:57:11] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:57:13] ppocr INFO: epoch: [135/200], global_step: 3490, lr: 0.000017, loss: 0.000802, avg_reader_cost: 1.29975 s, avg_batch_cost: 1.38484 s, avg_samples: 4.8, ips: 3.46610 samples/s, eta: 0:18:59 [2024/03/06 23:57:16] ppocr INFO: cur metric, precision: 0.8715846994535519, recall: 0.8964871194379391, hmean: 0.8838605402909259, fps: 78.05850924140304 [2024/03/06 23:57:41] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:57:41] ppocr INFO: best metric, hmean: 0.8838605402909259, precision: 0.8715846994535519, recall: 0.8964871194379391, fps: 78.05850924140304, best_epoch: 135 [2024/03/06 23:57:42] ppocr INFO: epoch: [135/200], global_step: 3500, lr: 0.000017, loss: 0.000723, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13752 s, avg_samples: 8.0, ips: 58.17264 samples/s, eta: 0:18:50 [2024/03/06 23:57:45] ppocr INFO: epoch: [135/200], global_step: 3510, lr: 0.000017, loss: 0.000725, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.12953 s, avg_samples: 7.5, ips: 57.90074 samples/s, eta: 0:18:41 [2024/03/06 23:57:58] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:58:02] ppocr INFO: cur metric, precision: 0.853822083147072, recall: 0.8946135831381733, hmean: 0.8737419945105215, fps: 77.81540619353041 [2024/03/06 23:58:02] ppocr INFO: best metric, hmean: 0.8838605402909259, precision: 0.8715846994535519, recall: 0.8964871194379391, fps: 78.05850924140304, best_epoch: 135 [2024/03/06 23:58:03] ppocr INFO: epoch: [136/200], global_step: 3520, lr: 0.000017, loss: 0.000683, avg_reader_cost: 1.38071 s, avg_batch_cost: 1.52105 s, avg_samples: 8.0, ips: 5.25953 samples/s, eta: 0:18:38 [2024/03/06 23:58:06] ppocr INFO: epoch: [136/200], global_step: 3530, lr: 0.000017, loss: 0.001101, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13704 s, avg_samples: 8.0, ips: 58.37885 samples/s, eta: 0:18:29 [2024/03/06 23:58:08] ppocr INFO: cur metric, precision: 0.8626299141436964, recall: 0.8941451990632319, hmean: 0.8781048758049678, fps: 77.73387560104197 [2024/03/06 23:58:08] ppocr INFO: best metric, hmean: 0.8838605402909259, precision: 0.8715846994535519, recall: 0.8964871194379391, fps: 78.05850924140304, best_epoch: 135 [2024/03/06 23:58:09] ppocr INFO: epoch: [136/200], global_step: 3536, lr: 0.000017, loss: 0.000858, avg_reader_cost: 0.00015 s, avg_batch_cost: 0.07436 s, avg_samples: 4.3, ips: 57.82847 samples/s, eta: 0:18:24 [2024/03/06 23:58:24] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:58:25] ppocr INFO: epoch: [137/200], global_step: 3540, lr: 0.000017, loss: 0.000672, avg_reader_cost: 1.56166 s, avg_batch_cost: 1.61830 s, avg_samples: 3.2, ips: 1.97739 samples/s, eta: 0:18:28 [2024/03/06 23:58:28] ppocr INFO: epoch: [137/200], global_step: 3550, lr: 0.000016, loss: 0.000731, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13720 s, avg_samples: 8.0, ips: 58.30917 samples/s, eta: 0:18:18 [2024/03/06 23:58:30] ppocr INFO: cur metric, precision: 0.8631195998180992, recall: 0.8889929742388759, hmean: 0.8758652514997692, fps: 77.78542126697839 [2024/03/06 23:58:30] ppocr INFO: best metric, hmean: 0.8838605402909259, precision: 0.8715846994535519, recall: 0.8964871194379391, fps: 78.05850924140304, best_epoch: 135 [2024/03/06 23:58:32] ppocr INFO: epoch: [137/200], global_step: 3560, lr: 0.000016, loss: 0.000927, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13615 s, avg_samples: 8.0, ips: 58.75897 samples/s, eta: 0:18:09 [2024/03/06 23:58:33] ppocr INFO: epoch: [137/200], global_step: 3562, lr: 0.000016, loss: 0.000780, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01987 s, avg_samples: 1.1, ips: 55.36005 samples/s, eta: 0:18:07 [2024/03/06 23:58:46] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:58:49] ppocr INFO: epoch: [138/200], global_step: 3570, lr: 0.000016, loss: 0.001044, avg_reader_cost: 1.34897 s, avg_batch_cost: 1.46227 s, avg_samples: 6.4, ips: 4.37677 samples/s, eta: 0:18:06 [2024/03/06 23:58:51] ppocr INFO: cur metric, precision: 0.8589454709328527, recall: 0.8927400468384075, hmean: 0.8755167661920074, fps: 77.60816576261263 [2024/03/06 23:58:51] ppocr INFO: best metric, hmean: 0.8838605402909259, precision: 0.8715846994535519, recall: 0.8964871194379391, fps: 78.05850924140304, best_epoch: 135 [2024/03/06 23:58:53] ppocr INFO: epoch: [138/200], global_step: 3580, lr: 0.000016, loss: 0.000803, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13721 s, avg_samples: 8.0, ips: 58.30643 samples/s, eta: 0:17:57 [2024/03/06 23:58:55] ppocr INFO: epoch: [138/200], global_step: 3588, lr: 0.000016, loss: 0.000817, avg_reader_cost: 0.00022 s, avg_batch_cost: 0.10203 s, avg_samples: 5.9, ips: 57.82697 samples/s, eta: 0:17:50 [2024/03/06 23:59:08] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/06 23:59:09] ppocr INFO: epoch: [139/200], global_step: 3590, lr: 0.000016, loss: 0.000810, avg_reader_cost: 1.33737 s, avg_batch_cost: 1.36711 s, avg_samples: 1.6, ips: 1.17035 samples/s, eta: 0:17:54 [2024/03/06 23:59:11] ppocr INFO: cur metric, precision: 0.8739070409572021, recall: 0.8894613583138173, hmean: 0.8816155988857939, fps: 77.98961453452793 [2024/03/06 23:59:11] ppocr INFO: best metric, hmean: 0.8838605402909259, precision: 0.8715846994535519, recall: 0.8964871194379391, fps: 78.05850924140304, best_epoch: 135 [2024/03/06 23:59:13] ppocr INFO: epoch: [139/200], global_step: 3600, lr: 0.000016, loss: 0.000928, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13807 s, avg_samples: 8.0, ips: 57.94028 samples/s, eta: 0:17:45 [2024/03/06 23:59:16] ppocr INFO: epoch: [139/200], global_step: 3610, lr: 0.000016, loss: 0.001023, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13809 s, avg_samples: 8.0, ips: 57.93175 samples/s, eta: 0:17:36 [2024/03/06 23:59:17] ppocr INFO: cur metric, precision: 0.8790248390064398, recall: 0.8950819672131147, hmean: 0.886980737990253, fps: 77.77010099944621 [2024/03/06 23:59:43] ppocr INFO: save best model is to ./output/ser_vi_layoutxlm_xfund_zh/best_accuracy [2024/03/06 23:59:43] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/06 23:59:44] ppocr INFO: epoch: [139/200], global_step: 3614, lr: 0.000016, loss: 0.001087, avg_reader_cost: 0.00011 s, avg_batch_cost: 0.04857 s, avg_samples: 2.7, ips: 55.59122 samples/s, eta: 0:17:33 [2024/03/06 23:59:57] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:00:00] ppocr INFO: epoch: [140/200], global_step: 3620, lr: 0.000016, loss: 0.001482, avg_reader_cost: 1.38373 s, avg_batch_cost: 1.46806 s, avg_samples: 4.8, ips: 3.26962 samples/s, eta: 0:17:33 [2024/03/07 00:00:03] ppocr INFO: cur metric, precision: 0.8460514640638864, recall: 0.8932084309133489, hmean: 0.8689906584643426, fps: 77.68732223928085 [2024/03/07 00:00:03] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:00:04] ppocr INFO: epoch: [140/200], global_step: 3630, lr: 0.000016, loss: 0.002035, avg_reader_cost: 0.00035 s, avg_batch_cost: 0.13857 s, avg_samples: 8.0, ips: 57.73276 samples/s, eta: 0:17:24 [2024/03/07 00:00:06] ppocr INFO: epoch: [140/200], global_step: 3640, lr: 0.000016, loss: 0.001912, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.12964 s, avg_samples: 7.5, ips: 57.85116 samples/s, eta: 0:17:15 [2024/03/07 00:00:19] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:00:24] ppocr INFO: cur metric, precision: 0.8626473254759747, recall: 0.8913348946135832, hmean: 0.8767565077171159, fps: 77.91775325149803 [2024/03/07 00:00:24] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:00:24] ppocr INFO: epoch: [141/200], global_step: 3650, lr: 0.000015, loss: 0.001932, avg_reader_cost: 1.36588 s, avg_batch_cost: 1.50545 s, avg_samples: 8.0, ips: 5.31404 samples/s, eta: 0:17:12 [2024/03/07 00:00:27] ppocr INFO: epoch: [141/200], global_step: 3660, lr: 0.000015, loss: 0.002980, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13679 s, avg_samples: 8.0, ips: 58.48413 samples/s, eta: 0:17:03 [2024/03/07 00:00:29] ppocr INFO: epoch: [141/200], global_step: 3666, lr: 0.000015, loss: 0.001760, avg_reader_cost: 0.00014 s, avg_batch_cost: 0.07396 s, avg_samples: 4.3, ips: 58.13573 samples/s, eta: 0:16:58 [2024/03/07 00:00:42] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:00:44] ppocr INFO: cur metric, precision: 0.8648648648648649, recall: 0.8843091334894614, hmean: 0.8744789254284392, fps: 77.94346256482429 [2024/03/07 00:00:44] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:00:45] ppocr INFO: epoch: [142/200], global_step: 3670, lr: 0.000015, loss: 0.001653, avg_reader_cost: 1.36021 s, avg_batch_cost: 1.41707 s, avg_samples: 3.2, ips: 2.25818 samples/s, eta: 0:17:00 [2024/03/07 00:00:48] ppocr INFO: epoch: [142/200], global_step: 3680, lr: 0.000015, loss: 0.002556, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13719 s, avg_samples: 8.0, ips: 58.31395 samples/s, eta: 0:16:51 [2024/03/07 00:00:51] ppocr INFO: cur metric, precision: 0.8735632183908046, recall: 0.8899297423887588, hmean: 0.8816705336426914, fps: 78.0397898416287 [2024/03/07 00:00:51] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:00:52] ppocr INFO: epoch: [142/200], global_step: 3690, lr: 0.000015, loss: 0.001163, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13719 s, avg_samples: 8.0, ips: 58.31500 samples/s, eta: 0:16:43 [2024/03/07 00:00:52] ppocr INFO: epoch: [142/200], global_step: 3692, lr: 0.000015, loss: 0.001162, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01965 s, avg_samples: 1.1, ips: 55.97216 samples/s, eta: 0:16:41 [2024/03/07 00:01:05] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:01:08] ppocr INFO: epoch: [143/200], global_step: 3700, lr: 0.000015, loss: 0.000937, avg_reader_cost: 1.36163 s, avg_batch_cost: 1.47526 s, avg_samples: 6.4, ips: 4.33823 samples/s, eta: 0:16:39 [2024/03/07 00:01:11] ppocr INFO: cur metric, precision: 0.861503416856492, recall: 0.8857142857142857, hmean: 0.8734411085450347, fps: 77.74418567292471 [2024/03/07 00:01:11] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:01:12] ppocr INFO: epoch: [143/200], global_step: 3710, lr: 0.000015, loss: 0.000802, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13695 s, avg_samples: 8.0, ips: 58.41627 samples/s, eta: 0:16:30 [2024/03/07 00:01:14] ppocr INFO: epoch: [143/200], global_step: 3718, lr: 0.000015, loss: 0.000855, avg_reader_cost: 0.00021 s, avg_batch_cost: 0.10179 s, avg_samples: 5.9, ips: 57.96296 samples/s, eta: 0:16:23 [2024/03/07 00:01:27] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:01:29] ppocr INFO: epoch: [144/200], global_step: 3720, lr: 0.000015, loss: 0.000885, avg_reader_cost: 1.35665 s, avg_batch_cost: 1.38598 s, avg_samples: 1.6, ips: 1.15442 samples/s, eta: 0:16:27 [2024/03/07 00:01:31] ppocr INFO: cur metric, precision: 0.8674643350207087, recall: 0.882903981264637, hmean: 0.8751160631383472, fps: 78.37958333471757 [2024/03/07 00:01:31] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:01:33] ppocr INFO: epoch: [144/200], global_step: 3730, lr: 0.000015, loss: 0.000913, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13747 s, avg_samples: 8.0, ips: 58.19340 samples/s, eta: 0:16:18 [2024/03/07 00:01:36] ppocr INFO: epoch: [144/200], global_step: 3740, lr: 0.000015, loss: 0.000889, avg_reader_cost: 0.00035 s, avg_batch_cost: 0.13683 s, avg_samples: 8.0, ips: 58.46747 samples/s, eta: 0:16:10 [2024/03/07 00:01:38] ppocr INFO: cur metric, precision: 0.8587005906406179, recall: 0.8852459016393442, hmean: 0.871771217712177, fps: 77.99564118902809 [2024/03/07 00:01:38] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:01:38] ppocr INFO: epoch: [144/200], global_step: 3744, lr: 0.000015, loss: 0.000889, avg_reader_cost: 0.00012 s, avg_batch_cost: 0.04757 s, avg_samples: 2.7, ips: 56.75432 samples/s, eta: 0:16:06 [2024/03/07 00:01:51] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:01:54] ppocr INFO: epoch: [145/200], global_step: 3750, lr: 0.000014, loss: 0.000889, avg_reader_cost: 1.40297 s, avg_batch_cost: 1.48758 s, avg_samples: 4.8, ips: 3.22672 samples/s, eta: 0:16:06 [2024/03/07 00:01:56] ppocr INFO: epoch: [145/200], global_step: 3760, lr: 0.000014, loss: 0.000745, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13723 s, avg_samples: 8.0, ips: 58.29469 samples/s, eta: 0:15:58 [2024/03/07 00:01:58] ppocr INFO: cur metric, precision: 0.8658424908424909, recall: 0.8857142857142857, hmean: 0.8756656633479972, fps: 78.04872884860313 [2024/03/07 00:01:58] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:02:00] ppocr INFO: epoch: [145/200], global_step: 3770, lr: 0.000014, loss: 0.000971, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.12948 s, avg_samples: 7.5, ips: 57.92235 samples/s, eta: 0:15:49 [2024/03/07 00:02:13] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:02:17] ppocr INFO: epoch: [146/200], global_step: 3780, lr: 0.000014, loss: 0.000928, avg_reader_cost: 1.34342 s, avg_batch_cost: 1.48109 s, avg_samples: 8.0, ips: 5.40144 samples/s, eta: 0:15:45 [2024/03/07 00:02:18] ppocr INFO: cur metric, precision: 0.8676133760879523, recall: 0.8871194379391101, hmean: 0.8772579898100973, fps: 78.25346513800227 [2024/03/07 00:02:18] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:02:21] ppocr INFO: epoch: [146/200], global_step: 3790, lr: 0.000014, loss: 0.000786, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13736 s, avg_samples: 8.0, ips: 58.24170 samples/s, eta: 0:15:37 [2024/03/07 00:02:22] ppocr INFO: epoch: [146/200], global_step: 3796, lr: 0.000014, loss: 0.000690, avg_reader_cost: 0.00015 s, avg_batch_cost: 0.07424 s, avg_samples: 4.3, ips: 57.91773 samples/s, eta: 0:15:32 [2024/03/07 00:02:35] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:02:37] ppocr INFO: epoch: [147/200], global_step: 3800, lr: 0.000014, loss: 0.000726, avg_reader_cost: 1.33174 s, avg_batch_cost: 1.38928 s, avg_samples: 3.2, ips: 2.30336 samples/s, eta: 0:15:33 [2024/03/07 00:02:38] ppocr INFO: cur metric, precision: 0.8620689655172413, recall: 0.8899297423887588, hmean: 0.8757778289928555, fps: 78.05786359536427 [2024/03/07 00:02:38] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:02:41] ppocr INFO: epoch: [147/200], global_step: 3810, lr: 0.000014, loss: 0.000745, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13830 s, avg_samples: 8.0, ips: 57.84694 samples/s, eta: 0:15:24 [2024/03/07 00:02:45] ppocr INFO: cur metric, precision: 0.8680109990834097, recall: 0.8871194379391101, hmean: 0.8774611999073431, fps: 77.61994276288544 [2024/03/07 00:02:45] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:02:45] ppocr INFO: epoch: [147/200], global_step: 3820, lr: 0.000014, loss: 0.000692, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13674 s, avg_samples: 8.0, ips: 58.50719 samples/s, eta: 0:15:16 [2024/03/07 00:02:46] ppocr INFO: epoch: [147/200], global_step: 3822, lr: 0.000014, loss: 0.000683, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01989 s, avg_samples: 1.1, ips: 55.31140 samples/s, eta: 0:15:14 [2024/03/07 00:02:59] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:03:01] ppocr INFO: epoch: [148/200], global_step: 3830, lr: 0.000014, loss: 0.000669, avg_reader_cost: 1.34521 s, avg_batch_cost: 1.45727 s, avg_samples: 6.4, ips: 4.39177 samples/s, eta: 0:15:12 [2024/03/07 00:03:05] ppocr INFO: cur metric, precision: 0.8642595978062158, recall: 0.8857142857142857, hmean: 0.8748554244737451, fps: 77.98955008336381 [2024/03/07 00:03:05] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:03:06] ppocr INFO: epoch: [148/200], global_step: 3840, lr: 0.000014, loss: 0.000715, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13741 s, avg_samples: 8.0, ips: 58.22146 samples/s, eta: 0:15:04 [2024/03/07 00:03:08] ppocr INFO: epoch: [148/200], global_step: 3848, lr: 0.000014, loss: 0.000643, avg_reader_cost: 0.00023 s, avg_batch_cost: 0.10207 s, avg_samples: 5.9, ips: 57.80424 samples/s, eta: 0:14:57 [2024/03/07 00:03:21] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:03:22] ppocr INFO: epoch: [149/200], global_step: 3850, lr: 0.000014, loss: 0.000633, avg_reader_cost: 1.35794 s, avg_batch_cost: 1.38782 s, avg_samples: 1.6, ips: 1.15289 samples/s, eta: 0:15:00 [2024/03/07 00:03:25] ppocr INFO: cur metric, precision: 0.8578564940962761, recall: 0.8847775175644028, hmean: 0.8711090615632926, fps: 77.94507197203713 [2024/03/07 00:03:25] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:03:26] ppocr INFO: epoch: [149/200], global_step: 3860, lr: 0.000013, loss: 0.000926, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13740 s, avg_samples: 8.0, ips: 58.22214 samples/s, eta: 0:14:51 [2024/03/07 00:03:29] ppocr INFO: epoch: [149/200], global_step: 3870, lr: 0.000013, loss: 0.000764, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13690 s, avg_samples: 8.0, ips: 58.43877 samples/s, eta: 0:14:43 [2024/03/07 00:03:30] ppocr INFO: epoch: [149/200], global_step: 3874, lr: 0.000013, loss: 0.000685, avg_reader_cost: 0.00010 s, avg_batch_cost: 0.04695 s, avg_samples: 2.7, ips: 57.50220 samples/s, eta: 0:14:39 [2024/03/07 00:03:43] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:03:45] ppocr INFO: cur metric, precision: 0.8675862068965517, recall: 0.88384074941452, hmean: 0.8756380510440837, fps: 77.04100392177352 [2024/03/07 00:03:45] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:03:46] ppocr INFO: epoch: [150/200], global_step: 3880, lr: 0.000013, loss: 0.000680, avg_reader_cost: 1.33793 s, avg_batch_cost: 1.42044 s, avg_samples: 4.8, ips: 3.37924 samples/s, eta: 0:14:39 [2024/03/07 00:03:49] ppocr INFO: epoch: [150/200], global_step: 3890, lr: 0.000013, loss: 0.000642, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13735 s, avg_samples: 8.0, ips: 58.24349 samples/s, eta: 0:14:31 [2024/03/07 00:03:52] ppocr INFO: cur metric, precision: 0.8631386861313869, recall: 0.8861826697892272, hmean: 0.8745088976195979, fps: 77.44318557157446 [2024/03/07 00:03:52] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:03:53] ppocr INFO: epoch: [150/200], global_step: 3900, lr: 0.000013, loss: 0.000624, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.12969 s, avg_samples: 7.5, ips: 57.83129 samples/s, eta: 0:14:22 [2024/03/07 00:04:06] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:04:09] ppocr INFO: epoch: [151/200], global_step: 3910, lr: 0.000013, loss: 0.000731, avg_reader_cost: 1.34211 s, avg_batch_cost: 1.48138 s, avg_samples: 8.0, ips: 5.40036 samples/s, eta: 0:14:18 [2024/03/07 00:04:12] ppocr INFO: cur metric, precision: 0.8617069831127339, recall: 0.8843091334894614, hmean: 0.8728617660656496, fps: 77.92988181511895 [2024/03/07 00:04:12] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:04:13] ppocr INFO: epoch: [151/200], global_step: 3920, lr: 0.000013, loss: 0.000677, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13696 s, avg_samples: 8.0, ips: 58.40912 samples/s, eta: 0:14:10 [2024/03/07 00:04:15] ppocr INFO: epoch: [151/200], global_step: 3926, lr: 0.000013, loss: 0.000576, avg_reader_cost: 0.00015 s, avg_batch_cost: 0.07435 s, avg_samples: 4.3, ips: 57.83260 samples/s, eta: 0:14:05 [2024/03/07 00:04:28] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:04:30] ppocr INFO: epoch: [152/200], global_step: 3930, lr: 0.000013, loss: 0.000650, avg_reader_cost: 1.34213 s, avg_batch_cost: 1.39788 s, avg_samples: 3.2, ips: 2.28918 samples/s, eta: 0:14:06 [2024/03/07 00:04:32] ppocr INFO: cur metric, precision: 0.8700642791551882, recall: 0.8875878220140515, hmean: 0.8787386969626709, fps: 77.27355837511703 [2024/03/07 00:04:32] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:04:34] ppocr INFO: epoch: [152/200], global_step: 3940, lr: 0.000013, loss: 0.000606, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13779 s, avg_samples: 8.0, ips: 58.05984 samples/s, eta: 0:13:57 [2024/03/07 00:04:37] ppocr INFO: epoch: [152/200], global_step: 3950, lr: 0.000013, loss: 0.000648, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13779 s, avg_samples: 8.0, ips: 58.05972 samples/s, eta: 0:13:49 [2024/03/07 00:04:37] ppocr INFO: epoch: [152/200], global_step: 3952, lr: 0.000013, loss: 0.000648, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01977 s, avg_samples: 1.1, ips: 55.64562 samples/s, eta: 0:13:47 [2024/03/07 00:04:38] ppocr INFO: cur metric, precision: 0.870201096892139, recall: 0.8918032786885246, hmean: 0.8808697663659496, fps: 78.0024746726266 [2024/03/07 00:04:38] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:04:52] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:04:55] ppocr INFO: epoch: [153/200], global_step: 3960, lr: 0.000012, loss: 0.000599, avg_reader_cost: 1.39843 s, avg_batch_cost: 1.51131 s, avg_samples: 6.4, ips: 4.23474 samples/s, eta: 0:13:45 [2024/03/07 00:04:57] ppocr INFO: epoch: [153/200], global_step: 3970, lr: 0.000012, loss: 0.000579, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13669 s, avg_samples: 8.0, ips: 58.52544 samples/s, eta: 0:13:37 [2024/03/07 00:04:59] ppocr INFO: cur metric, precision: 0.8681569343065694, recall: 0.8913348946135832, hmean: 0.8795932516755258, fps: 77.40088356835967 [2024/03/07 00:04:59] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:05:01] ppocr INFO: epoch: [153/200], global_step: 3978, lr: 0.000012, loss: 0.000569, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.10230 s, avg_samples: 5.9, ips: 57.67206 samples/s, eta: 0:13:30 [2024/03/07 00:05:14] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:05:15] ppocr INFO: epoch: [154/200], global_step: 3980, lr: 0.000012, loss: 0.000543, avg_reader_cost: 1.35842 s, avg_batch_cost: 1.38671 s, avg_samples: 1.6, ips: 1.15381 samples/s, eta: 0:13:33 [2024/03/07 00:05:18] ppocr INFO: epoch: [154/200], global_step: 3990, lr: 0.000012, loss: 0.000585, avg_reader_cost: 0.00040 s, avg_batch_cost: 0.13727 s, avg_samples: 8.0, ips: 58.27965 samples/s, eta: 0:13:24 [2024/03/07 00:05:19] ppocr INFO: cur metric, precision: 0.8670309653916212, recall: 0.8918032786885246, hmean: 0.8792426691295314, fps: 77.89890838822896 [2024/03/07 00:05:19] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:05:22] ppocr INFO: epoch: [154/200], global_step: 4000, lr: 0.000012, loss: 0.000567, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13711 s, avg_samples: 8.0, ips: 58.34763 samples/s, eta: 0:13:16 [2024/03/07 00:05:23] ppocr INFO: epoch: [154/200], global_step: 4004, lr: 0.000012, loss: 0.000542, avg_reader_cost: 0.00009 s, avg_batch_cost: 0.04755 s, avg_samples: 2.7, ips: 56.78178 samples/s, eta: 0:13:13 [2024/03/07 00:05:36] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:05:39] ppocr INFO: cur metric, precision: 0.8694659972615244, recall: 0.892271662763466, hmean: 0.8807212205270458, fps: 77.54825100754472 [2024/03/07 00:05:39] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:05:39] ppocr INFO: epoch: [155/200], global_step: 4010, lr: 0.000012, loss: 0.000597, avg_reader_cost: 1.33530 s, avg_batch_cost: 1.42003 s, avg_samples: 4.8, ips: 3.38022 samples/s, eta: 0:13:12 [2024/03/07 00:05:42] ppocr INFO: epoch: [155/200], global_step: 4020, lr: 0.000012, loss: 0.000577, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13724 s, avg_samples: 8.0, ips: 58.29372 samples/s, eta: 0:13:04 [2024/03/07 00:05:46] ppocr INFO: cur metric, precision: 0.8705989940557842, recall: 0.8918032786885246, hmean: 0.8810735770476633, fps: 78.04037065352264 [2024/03/07 00:05:46] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:05:46] ppocr INFO: epoch: [155/200], global_step: 4030, lr: 0.000012, loss: 0.000521, avg_reader_cost: 0.00026 s, avg_batch_cost: 0.12896 s, avg_samples: 7.5, ips: 58.15776 samples/s, eta: 0:12:56 [2024/03/07 00:05:59] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:06:03] ppocr INFO: epoch: [156/200], global_step: 4040, lr: 0.000012, loss: 0.000561, avg_reader_cost: 1.35611 s, avg_batch_cost: 1.49569 s, avg_samples: 8.0, ips: 5.34872 samples/s, eta: 0:12:51 [2024/03/07 00:06:06] ppocr INFO: cur metric, precision: 0.8694659972615244, recall: 0.892271662763466, hmean: 0.8807212205270458, fps: 77.75248054166148 [2024/03/07 00:06:06] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:06:07] ppocr INFO: epoch: [156/200], global_step: 4050, lr: 0.000012, loss: 0.000595, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13806 s, avg_samples: 8.0, ips: 57.94668 samples/s, eta: 0:12:43 [2024/03/07 00:06:08] ppocr INFO: epoch: [156/200], global_step: 4056, lr: 0.000012, loss: 0.000535, avg_reader_cost: 0.00018 s, avg_batch_cost: 0.07546 s, avg_samples: 4.3, ips: 56.98269 samples/s, eta: 0:12:38 [2024/03/07 00:06:23] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:06:25] ppocr INFO: epoch: [157/200], global_step: 4060, lr: 0.000012, loss: 0.000561, avg_reader_cost: 1.57050 s, avg_batch_cost: 1.62873 s, avg_samples: 3.2, ips: 1.96472 samples/s, eta: 0:12:39 [2024/03/07 00:06:28] ppocr INFO: cur metric, precision: 0.8703196347031964, recall: 0.8927400468384075, hmean: 0.8813872832369942, fps: 78.40615206691768 [2024/03/07 00:06:28] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:06:29] ppocr INFO: epoch: [157/200], global_step: 4070, lr: 0.000011, loss: 0.000586, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13724 s, avg_samples: 8.0, ips: 58.29184 samples/s, eta: 0:12:31 [2024/03/07 00:06:32] ppocr INFO: epoch: [157/200], global_step: 4080, lr: 0.000011, loss: 0.000502, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13695 s, avg_samples: 8.0, ips: 58.41745 samples/s, eta: 0:12:23 [2024/03/07 00:06:33] ppocr INFO: epoch: [157/200], global_step: 4082, lr: 0.000011, loss: 0.000497, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01972 s, avg_samples: 1.1, ips: 55.78935 samples/s, eta: 0:12:22 [2024/03/07 00:06:45] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:06:48] ppocr INFO: cur metric, precision: 0.8711740520785747, recall: 0.8932084309133489, hmean: 0.8820536540240517, fps: 77.46031641803296 [2024/03/07 00:06:48] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:06:50] ppocr INFO: epoch: [158/200], global_step: 4090, lr: 0.000011, loss: 0.000539, avg_reader_cost: 1.34146 s, avg_batch_cost: 1.45336 s, avg_samples: 6.4, ips: 4.40358 samples/s, eta: 0:12:19 [2024/03/07 00:06:52] ppocr INFO: epoch: [158/200], global_step: 4100, lr: 0.000011, loss: 0.000517, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13803 s, avg_samples: 8.0, ips: 57.96003 samples/s, eta: 0:12:11 [2024/03/07 00:06:55] ppocr INFO: cur metric, precision: 0.8746556473829201, recall: 0.892271662763466, hmean: 0.8833758404822628, fps: 78.02662709051185 [2024/03/07 00:06:55] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:06:56] ppocr INFO: epoch: [158/200], global_step: 4108, lr: 0.000011, loss: 0.000520, avg_reader_cost: 0.00022 s, avg_batch_cost: 0.10219 s, avg_samples: 5.9, ips: 57.73791 samples/s, eta: 0:12:04 [2024/03/07 00:07:09] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:07:10] ppocr INFO: epoch: [159/200], global_step: 4110, lr: 0.000011, loss: 0.000538, avg_reader_cost: 1.34571 s, avg_batch_cost: 1.37577 s, avg_samples: 1.6, ips: 1.16298 samples/s, eta: 0:12:06 [2024/03/07 00:07:13] ppocr INFO: epoch: [159/200], global_step: 4120, lr: 0.000011, loss: 0.000623, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13752 s, avg_samples: 8.0, ips: 58.17371 samples/s, eta: 0:11:58 [2024/03/07 00:07:15] ppocr INFO: cur metric, precision: 0.8698035632708999, recall: 0.8918032786885246, hmean: 0.8806660499537466, fps: 78.64959027921019 [2024/03/07 00:07:15] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:07:17] ppocr INFO: epoch: [159/200], global_step: 4130, lr: 0.000011, loss: 0.000509, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13705 s, avg_samples: 8.0, ips: 58.37230 samples/s, eta: 0:11:50 [2024/03/07 00:07:18] ppocr INFO: epoch: [159/200], global_step: 4134, lr: 0.000011, loss: 0.000521, avg_reader_cost: 0.00012 s, avg_batch_cost: 0.04729 s, avg_samples: 2.7, ips: 57.09779 samples/s, eta: 0:11:47 [2024/03/07 00:07:31] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:07:33] ppocr INFO: epoch: [160/200], global_step: 4140, lr: 0.000011, loss: 0.000551, avg_reader_cost: 1.34460 s, avg_batch_cost: 1.42903 s, avg_samples: 4.8, ips: 3.35891 samples/s, eta: 0:11:46 [2024/03/07 00:07:35] ppocr INFO: cur metric, precision: 0.8703196347031964, recall: 0.8927400468384075, hmean: 0.8813872832369942, fps: 78.07781899321537 [2024/03/07 00:07:35] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:07:37] ppocr INFO: epoch: [160/200], global_step: 4150, lr: 0.000011, loss: 0.000514, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13766 s, avg_samples: 8.0, ips: 58.11273 samples/s, eta: 0:11:38 [2024/03/07 00:07:40] ppocr INFO: epoch: [160/200], global_step: 4160, lr: 0.000011, loss: 0.000582, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13020 s, avg_samples: 7.5, ips: 57.60267 samples/s, eta: 0:11:30 [2024/03/07 00:07:55] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:07:57] ppocr INFO: cur metric, precision: 0.8755167661920074, recall: 0.8927400468384075, hmean: 0.8840445269016698, fps: 77.56641654170008 [2024/03/07 00:07:57] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:08:00] ppocr INFO: epoch: [161/200], global_step: 4170, lr: 0.000010, loss: 0.000549, avg_reader_cost: 1.53799 s, avg_batch_cost: 1.67836 s, avg_samples: 8.0, ips: 4.76656 samples/s, eta: 0:11:25 [2024/03/07 00:08:03] ppocr INFO: epoch: [161/200], global_step: 4180, lr: 0.000010, loss: 0.000640, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13761 s, avg_samples: 8.0, ips: 58.13507 samples/s, eta: 0:11:18 [2024/03/07 00:08:04] ppocr INFO: cur metric, precision: 0.8770152003684938, recall: 0.8918032786885246, hmean: 0.8843474222015791, fps: 78.35530953355546 [2024/03/07 00:08:04] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:08:06] ppocr INFO: epoch: [161/200], global_step: 4186, lr: 0.000010, loss: 0.000652, avg_reader_cost: 0.00014 s, avg_batch_cost: 0.07424 s, avg_samples: 4.3, ips: 57.91887 samples/s, eta: 0:11:13 [2024/03/07 00:08:19] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:08:20] ppocr INFO: epoch: [162/200], global_step: 4190, lr: 0.000010, loss: 0.000613, avg_reader_cost: 1.34914 s, avg_batch_cost: 1.40636 s, avg_samples: 3.2, ips: 2.27538 samples/s, eta: 0:11:13 [2024/03/07 00:08:24] ppocr INFO: cur metric, precision: 0.8720183486238532, recall: 0.8903981264637002, hmean: 0.8811123986095017, fps: 77.14113356101117 [2024/03/07 00:08:24] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:08:25] ppocr INFO: epoch: [162/200], global_step: 4200, lr: 0.000010, loss: 0.000527, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13750 s, avg_samples: 8.0, ips: 58.18273 samples/s, eta: 0:11:05 [2024/03/07 00:08:27] ppocr INFO: epoch: [162/200], global_step: 4210, lr: 0.000010, loss: 0.000540, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13687 s, avg_samples: 8.0, ips: 58.45077 samples/s, eta: 0:10:57 [2024/03/07 00:08:28] ppocr INFO: epoch: [162/200], global_step: 4212, lr: 0.000010, loss: 0.000522, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.02064 s, avg_samples: 1.1, ips: 53.30352 samples/s, eta: 0:10:55 [2024/03/07 00:08:41] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:08:45] ppocr INFO: cur metric, precision: 0.8646069968196275, recall: 0.8913348946135832, hmean: 0.8777675276752768, fps: 76.77244738826641 [2024/03/07 00:08:45] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:08:45] ppocr INFO: epoch: [163/200], global_step: 4220, lr: 0.000010, loss: 0.000506, avg_reader_cost: 1.34880 s, avg_batch_cost: 1.46230 s, avg_samples: 6.4, ips: 4.37667 samples/s, eta: 0:10:52 [2024/03/07 00:08:48] ppocr INFO: epoch: [163/200], global_step: 4230, lr: 0.000010, loss: 0.000542, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13710 s, avg_samples: 8.0, ips: 58.35246 samples/s, eta: 0:10:44 [2024/03/07 00:08:51] ppocr INFO: cur metric, precision: 0.8633060853769301, recall: 0.8903981264637002, hmean: 0.8766428406732765, fps: 78.52596727468949 [2024/03/07 00:08:51] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:08:52] ppocr INFO: epoch: [163/200], global_step: 4238, lr: 0.000010, loss: 0.000492, avg_reader_cost: 0.00020 s, avg_batch_cost: 0.10216 s, avg_samples: 5.9, ips: 57.75365 samples/s, eta: 0:10:38 [2024/03/07 00:09:04] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:09:06] ppocr INFO: epoch: [164/200], global_step: 4240, lr: 0.000010, loss: 0.000499, avg_reader_cost: 1.36457 s, avg_batch_cost: 1.39322 s, avg_samples: 1.6, ips: 1.14842 samples/s, eta: 0:10:40 [2024/03/07 00:09:09] ppocr INFO: epoch: [164/200], global_step: 4250, lr: 0.000010, loss: 0.000467, avg_reader_cost: 0.00035 s, avg_batch_cost: 0.13708 s, avg_samples: 8.0, ips: 58.36158 samples/s, eta: 0:10:32 [2024/03/07 00:09:12] ppocr INFO: cur metric, precision: 0.867606915377616, recall: 0.8932084309133489, hmean: 0.8802215555042696, fps: 77.25837580469083 [2024/03/07 00:09:12] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:09:13] ppocr INFO: epoch: [164/200], global_step: 4260, lr: 0.000010, loss: 0.000486, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13722 s, avg_samples: 8.0, ips: 58.29986 samples/s, eta: 0:10:24 [2024/03/07 00:09:14] ppocr INFO: epoch: [164/200], global_step: 4264, lr: 0.000010, loss: 0.000489, avg_reader_cost: 0.00009 s, avg_batch_cost: 0.04757 s, avg_samples: 2.7, ips: 56.75742 samples/s, eta: 0:10:21 [2024/03/07 00:09:27] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:09:29] ppocr INFO: epoch: [165/200], global_step: 4270, lr: 0.000009, loss: 0.000473, avg_reader_cost: 1.33548 s, avg_batch_cost: 1.42073 s, avg_samples: 4.8, ips: 3.37856 samples/s, eta: 0:10:19 [2024/03/07 00:09:32] ppocr INFO: cur metric, precision: 0.8642759872900591, recall: 0.8918032786885246, hmean: 0.8778238819732596, fps: 77.85308846840626 [2024/03/07 00:09:32] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:09:33] ppocr INFO: epoch: [165/200], global_step: 4280, lr: 0.000009, loss: 0.000508, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13735 s, avg_samples: 8.0, ips: 58.24574 samples/s, eta: 0:10:11 [2024/03/07 00:09:36] ppocr INFO: epoch: [165/200], global_step: 4290, lr: 0.000009, loss: 0.000534, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.12995 s, avg_samples: 7.5, ips: 57.71339 samples/s, eta: 0:10:03 [2024/03/07 00:09:49] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:09:53] ppocr INFO: cur metric, precision: 0.8657870791628753, recall: 0.8913348946135832, hmean: 0.8783752596353566, fps: 77.98597321076626 [2024/03/07 00:09:53] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:09:54] ppocr INFO: epoch: [166/200], global_step: 4300, lr: 0.000009, loss: 0.000495, avg_reader_cost: 1.36635 s, avg_batch_cost: 1.50508 s, avg_samples: 8.0, ips: 5.31532 samples/s, eta: 0:09:59 [2024/03/07 00:09:57] ppocr INFO: epoch: [166/200], global_step: 4310, lr: 0.000009, loss: 0.000523, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13715 s, avg_samples: 8.0, ips: 58.32970 samples/s, eta: 0:09:51 [2024/03/07 00:09:59] ppocr INFO: cur metric, precision: 0.8629579375848032, recall: 0.8936768149882904, hmean: 0.8780487804878049, fps: 78.02682062821238 [2024/03/07 00:09:59] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:10:00] ppocr INFO: epoch: [166/200], global_step: 4316, lr: 0.000009, loss: 0.000537, avg_reader_cost: 0.00017 s, avg_batch_cost: 0.07452 s, avg_samples: 4.3, ips: 57.70035 samples/s, eta: 0:09:46 [2024/03/07 00:10:13] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:10:15] ppocr INFO: epoch: [167/200], global_step: 4320, lr: 0.000009, loss: 0.000584, avg_reader_cost: 1.34172 s, avg_batch_cost: 1.39994 s, avg_samples: 3.2, ips: 2.28582 samples/s, eta: 0:09:46 [2024/03/07 00:10:17] ppocr INFO: epoch: [167/200], global_step: 4330, lr: 0.000009, loss: 0.000499, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13709 s, avg_samples: 8.0, ips: 58.35793 samples/s, eta: 0:09:38 [2024/03/07 00:10:20] ppocr INFO: cur metric, precision: 0.866030881017257, recall: 0.8932084309133489, hmean: 0.8794097302282684, fps: 78.33085571284504 [2024/03/07 00:10:20] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:10:22] ppocr INFO: epoch: [167/200], global_step: 4340, lr: 0.000009, loss: 0.000476, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13660 s, avg_samples: 8.0, ips: 58.56337 samples/s, eta: 0:09:30 [2024/03/07 00:10:22] ppocr INFO: epoch: [167/200], global_step: 4342, lr: 0.000009, loss: 0.000476, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.02060 s, avg_samples: 1.1, ips: 53.38932 samples/s, eta: 0:09:29 [2024/03/07 00:10:35] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:10:38] ppocr INFO: epoch: [168/200], global_step: 4350, lr: 0.000009, loss: 0.000461, avg_reader_cost: 1.33410 s, avg_batch_cost: 1.44671 s, avg_samples: 6.4, ips: 4.42382 samples/s, eta: 0:09:25 [2024/03/07 00:10:40] ppocr INFO: cur metric, precision: 0.8658481127785357, recall: 0.8918032786885246, hmean: 0.878634056299031, fps: 77.79648253322897 [2024/03/07 00:10:40] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:10:42] ppocr INFO: epoch: [168/200], global_step: 4360, lr: 0.000009, loss: 0.000500, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13726 s, avg_samples: 8.0, ips: 58.28204 samples/s, eta: 0:09:18 [2024/03/07 00:10:44] ppocr INFO: epoch: [168/200], global_step: 4368, lr: 0.000009, loss: 0.000590, avg_reader_cost: 0.00021 s, avg_batch_cost: 0.10184 s, avg_samples: 5.9, ips: 57.93590 samples/s, eta: 0:09:12 [2024/03/07 00:10:57] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:10:58] ppocr INFO: epoch: [169/200], global_step: 4370, lr: 0.000009, loss: 0.000549, avg_reader_cost: 1.34599 s, avg_batch_cost: 1.37703 s, avg_samples: 1.6, ips: 1.16192 samples/s, eta: 0:09:13 [2024/03/07 00:11:00] ppocr INFO: cur metric, precision: 0.872183908045977, recall: 0.8885245901639345, hmean: 0.880278422273782, fps: 78.17114400414496 [2024/03/07 00:11:00] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:11:02] ppocr INFO: epoch: [169/200], global_step: 4380, lr: 0.000008, loss: 0.000540, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13700 s, avg_samples: 8.0, ips: 58.39419 samples/s, eta: 0:09:05 [2024/03/07 00:11:06] ppocr INFO: cur metric, precision: 0.8724770642201835, recall: 0.8908665105386416, hmean: 0.8815758980301275, fps: 77.75799008125004 [2024/03/07 00:11:06] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:11:07] ppocr INFO: epoch: [169/200], global_step: 4390, lr: 0.000008, loss: 0.000508, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13738 s, avg_samples: 8.0, ips: 58.23053 samples/s, eta: 0:08:57 [2024/03/07 00:11:08] ppocr INFO: epoch: [169/200], global_step: 4394, lr: 0.000008, loss: 0.000554, avg_reader_cost: 0.00013 s, avg_batch_cost: 0.04756 s, avg_samples: 2.7, ips: 56.76886 samples/s, eta: 0:08:54 [2024/03/07 00:11:21] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:11:23] ppocr INFO: epoch: [170/200], global_step: 4400, lr: 0.000008, loss: 0.000504, avg_reader_cost: 1.36193 s, avg_batch_cost: 1.44718 s, avg_samples: 4.8, ips: 3.31679 samples/s, eta: 0:08:52 [2024/03/07 00:11:27] ppocr INFO: cur metric, precision: 0.8704805491990847, recall: 0.8908665105386416, hmean: 0.8805555555555555, fps: 78.07927245469595 [2024/03/07 00:11:27] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:11:27] ppocr INFO: epoch: [170/200], global_step: 4410, lr: 0.000008, loss: 0.000566, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13744 s, avg_samples: 8.0, ips: 58.20583 samples/s, eta: 0:08:45 [2024/03/07 00:11:30] ppocr INFO: epoch: [170/200], global_step: 4420, lr: 0.000008, loss: 0.000487, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13118 s, avg_samples: 7.5, ips: 57.17515 samples/s, eta: 0:08:37 [2024/03/07 00:11:43] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:11:47] ppocr INFO: cur metric, precision: 0.8663930688554492, recall: 0.8899297423887588, hmean: 0.878003696857671, fps: 77.61550602069761 [2024/03/07 00:11:47] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:11:48] ppocr INFO: epoch: [171/200], global_step: 4430, lr: 0.000008, loss: 0.000511, avg_reader_cost: 1.35963 s, avg_batch_cost: 1.49863 s, avg_samples: 8.0, ips: 5.33822 samples/s, eta: 0:08:32 [2024/03/07 00:11:50] ppocr INFO: epoch: [171/200], global_step: 4440, lr: 0.000008, loss: 0.000491, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13765 s, avg_samples: 8.0, ips: 58.11745 samples/s, eta: 0:08:24 [2024/03/07 00:11:52] ppocr INFO: epoch: [171/200], global_step: 4446, lr: 0.000008, loss: 0.000474, avg_reader_cost: 0.00015 s, avg_batch_cost: 0.07448 s, avg_samples: 4.3, ips: 57.73304 samples/s, eta: 0:08:20 [2024/03/07 00:11:53] ppocr INFO: cur metric, precision: 0.869406392694064, recall: 0.8918032786885246, hmean: 0.8804624277456647, fps: 77.84942777207894 [2024/03/07 00:11:53] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:12:06] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:12:08] ppocr INFO: epoch: [172/200], global_step: 4450, lr: 0.000008, loss: 0.000457, avg_reader_cost: 1.34099 s, avg_batch_cost: 1.39940 s, avg_samples: 3.2, ips: 2.28669 samples/s, eta: 0:08:19 [2024/03/07 00:12:11] ppocr INFO: epoch: [172/200], global_step: 4460, lr: 0.000008, loss: 0.000458, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13687 s, avg_samples: 8.0, ips: 58.45015 samples/s, eta: 0:08:11 [2024/03/07 00:12:14] ppocr INFO: cur metric, precision: 0.8683127572016461, recall: 0.8894613583138173, hmean: 0.8787598334104582, fps: 77.15973970439983 [2024/03/07 00:12:14] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:12:15] ppocr INFO: epoch: [172/200], global_step: 4470, lr: 0.000008, loss: 0.000507, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.13684 s, avg_samples: 8.0, ips: 58.46349 samples/s, eta: 0:08:04 [2024/03/07 00:12:15] ppocr INFO: epoch: [172/200], global_step: 4472, lr: 0.000008, loss: 0.000491, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.02010 s, avg_samples: 1.1, ips: 54.71541 samples/s, eta: 0:08:02 [2024/03/07 00:12:28] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:12:31] ppocr INFO: epoch: [173/200], global_step: 4480, lr: 0.000007, loss: 0.000443, avg_reader_cost: 1.33355 s, avg_batch_cost: 1.44865 s, avg_samples: 6.4, ips: 4.41791 samples/s, eta: 0:07:59 [2024/03/07 00:12:34] ppocr INFO: cur metric, precision: 0.8667275216795983, recall: 0.8894613583138173, hmean: 0.8779472954230235, fps: 77.58140154313033 [2024/03/07 00:12:34] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:12:35] ppocr INFO: epoch: [173/200], global_step: 4490, lr: 0.000007, loss: 0.000516, avg_reader_cost: 0.00036 s, avg_batch_cost: 0.13730 s, avg_samples: 8.0, ips: 58.26663 samples/s, eta: 0:07:51 [2024/03/07 00:12:37] ppocr INFO: epoch: [173/200], global_step: 4498, lr: 0.000007, loss: 0.000482, avg_reader_cost: 0.00024 s, avg_batch_cost: 0.10252 s, avg_samples: 5.9, ips: 57.54863 samples/s, eta: 0:07:45 [2024/03/07 00:12:50] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:12:51] ppocr INFO: epoch: [174/200], global_step: 4500, lr: 0.000007, loss: 0.000482, avg_reader_cost: 1.35231 s, avg_batch_cost: 1.38051 s, avg_samples: 1.6, ips: 1.15899 samples/s, eta: 0:07:46 [2024/03/07 00:12:54] ppocr INFO: cur metric, precision: 0.8652094717668488, recall: 0.8899297423887588, hmean: 0.8773955206649734, fps: 77.99341734177136 [2024/03/07 00:12:54] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:12:56] ppocr INFO: epoch: [174/200], global_step: 4510, lr: 0.000007, loss: 0.000459, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13739 s, avg_samples: 8.0, ips: 58.22869 samples/s, eta: 0:07:38 [2024/03/07 00:12:58] ppocr INFO: epoch: [174/200], global_step: 4520, lr: 0.000007, loss: 0.000460, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13710 s, avg_samples: 8.0, ips: 58.35076 samples/s, eta: 0:07:31 [2024/03/07 00:13:00] ppocr INFO: cur metric, precision: 0.8646069968196275, recall: 0.8913348946135832, hmean: 0.8777675276752768, fps: 78.01314632697675 [2024/03/07 00:13:00] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:13:01] ppocr INFO: epoch: [174/200], global_step: 4524, lr: 0.000007, loss: 0.000520, avg_reader_cost: 0.00010 s, avg_batch_cost: 0.04706 s, avg_samples: 2.7, ips: 57.37027 samples/s, eta: 0:07:28 [2024/03/07 00:13:14] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:13:16] ppocr INFO: epoch: [175/200], global_step: 4530, lr: 0.000007, loss: 0.000477, avg_reader_cost: 1.32996 s, avg_batch_cost: 1.41596 s, avg_samples: 4.8, ips: 3.38993 samples/s, eta: 0:07:25 [2024/03/07 00:13:18] ppocr INFO: epoch: [175/200], global_step: 4540, lr: 0.000007, loss: 0.000467, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13686 s, avg_samples: 8.0, ips: 58.45593 samples/s, eta: 0:07:18 [2024/03/07 00:13:20] ppocr INFO: cur metric, precision: 0.866636322257624, recall: 0.8918032786885246, hmean: 0.8790397045244691, fps: 77.91160998226651 [2024/03/07 00:13:20] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:13:23] ppocr INFO: epoch: [175/200], global_step: 4550, lr: 0.000007, loss: 0.000460, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.12979 s, avg_samples: 7.5, ips: 57.78641 samples/s, eta: 0:07:11 [2024/03/07 00:13:35] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:13:39] ppocr INFO: epoch: [176/200], global_step: 4560, lr: 0.000007, loss: 0.000452, avg_reader_cost: 1.32755 s, avg_batch_cost: 1.46713 s, avg_samples: 8.0, ips: 5.45282 samples/s, eta: 0:07:05 [2024/03/07 00:13:40] ppocr INFO: cur metric, precision: 0.8662420382165605, recall: 0.8918032786885246, hmean: 0.8788368336025849, fps: 78.18231525159186 [2024/03/07 00:13:40] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:13:43] ppocr INFO: epoch: [176/200], global_step: 4570, lr: 0.000007, loss: 0.000438, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13828 s, avg_samples: 8.0, ips: 57.85536 samples/s, eta: 0:06:58 [2024/03/07 00:13:44] ppocr INFO: epoch: [176/200], global_step: 4576, lr: 0.000007, loss: 0.000449, avg_reader_cost: 0.00017 s, avg_batch_cost: 0.07511 s, avg_samples: 4.3, ips: 57.24775 samples/s, eta: 0:06:53 [2024/03/07 00:13:57] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:14:00] ppocr INFO: cur metric, precision: 0.8652450090744102, recall: 0.8932084309133489, hmean: 0.879004378889145, fps: 77.6399622873108 [2024/03/07 00:14:00] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:14:00] ppocr INFO: epoch: [177/200], global_step: 4580, lr: 0.000007, loss: 0.000428, avg_reader_cost: 1.33377 s, avg_batch_cost: 1.39203 s, avg_samples: 3.2, ips: 2.29880 samples/s, eta: 0:06:52 [2024/03/07 00:14:03] ppocr INFO: epoch: [177/200], global_step: 4590, lr: 0.000006, loss: 0.000429, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13864 s, avg_samples: 8.0, ips: 57.70338 samples/s, eta: 0:06:45 [2024/03/07 00:14:07] ppocr INFO: cur metric, precision: 0.8602442333785617, recall: 0.8908665105386416, hmean: 0.8752876208007363, fps: 77.43807003507908 [2024/03/07 00:14:07] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:14:07] ppocr INFO: epoch: [177/200], global_step: 4600, lr: 0.000006, loss: 0.000461, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13771 s, avg_samples: 8.0, ips: 58.09217 samples/s, eta: 0:06:37 [2024/03/07 00:14:08] ppocr INFO: epoch: [177/200], global_step: 4602, lr: 0.000006, loss: 0.000452, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.02005 s, avg_samples: 1.1, ips: 54.86447 samples/s, eta: 0:06:36 [2024/03/07 00:14:21] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:14:24] ppocr INFO: epoch: [178/200], global_step: 4610, lr: 0.000006, loss: 0.000451, avg_reader_cost: 1.37939 s, avg_batch_cost: 1.49055 s, avg_samples: 6.4, ips: 4.29372 samples/s, eta: 0:06:32 [2024/03/07 00:14:27] ppocr INFO: cur metric, precision: 0.8563089357880557, recall: 0.8932084309133489, hmean: 0.8743695552498854, fps: 77.81396253920718 [2024/03/07 00:14:27] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:14:28] ppocr INFO: epoch: [178/200], global_step: 4620, lr: 0.000006, loss: 0.000478, avg_reader_cost: 0.00036 s, avg_batch_cost: 0.13798 s, avg_samples: 8.0, ips: 57.97940 samples/s, eta: 0:06:25 [2024/03/07 00:14:30] ppocr INFO: epoch: [178/200], global_step: 4628, lr: 0.000006, loss: 0.000534, avg_reader_cost: 0.00022 s, avg_batch_cost: 0.10189 s, avg_samples: 5.9, ips: 57.90636 samples/s, eta: 0:06:19 [2024/03/07 00:14:43] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:14:44] ppocr INFO: epoch: [179/200], global_step: 4630, lr: 0.000006, loss: 0.000814, avg_reader_cost: 1.33406 s, avg_batch_cost: 1.36423 s, avg_samples: 1.6, ips: 1.17283 samples/s, eta: 0:06:19 [2024/03/07 00:14:47] ppocr INFO: cur metric, precision: 0.8581818181818182, recall: 0.8843091334894614, hmean: 0.8710495963091117, fps: 77.5585118951004 [2024/03/07 00:14:47] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:14:48] ppocr INFO: epoch: [179/200], global_step: 4640, lr: 0.000006, loss: 0.000464, avg_reader_cost: 0.00035 s, avg_batch_cost: 0.13793 s, avg_samples: 8.0, ips: 58.00009 samples/s, eta: 0:06:12 [2024/03/07 00:14:51] ppocr INFO: epoch: [179/200], global_step: 4650, lr: 0.000006, loss: 0.000484, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13717 s, avg_samples: 8.0, ips: 58.32019 samples/s, eta: 0:06:04 [2024/03/07 00:14:52] ppocr INFO: epoch: [179/200], global_step: 4654, lr: 0.000006, loss: 0.000528, avg_reader_cost: 0.00013 s, avg_batch_cost: 0.04705 s, avg_samples: 2.7, ips: 57.38134 samples/s, eta: 0:06:01 [2024/03/07 00:15:05] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:15:08] ppocr INFO: cur metric, precision: 0.856687898089172, recall: 0.8819672131147541, hmean: 0.8691437802907916, fps: 76.86677676122446 [2024/03/07 00:15:08] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:15:09] ppocr INFO: epoch: [180/200], global_step: 4660, lr: 0.000006, loss: 0.000532, avg_reader_cost: 1.35945 s, avg_batch_cost: 1.44458 s, avg_samples: 4.8, ips: 3.32277 samples/s, eta: 0:05:59 [2024/03/07 00:15:12] ppocr INFO: epoch: [180/200], global_step: 4670, lr: 0.000006, loss: 0.000475, avg_reader_cost: 0.00037 s, avg_batch_cost: 0.13890 s, avg_samples: 8.0, ips: 57.59531 samples/s, eta: 0:05:51 [2024/03/07 00:15:14] ppocr INFO: cur metric, precision: 0.8581785228817399, recall: 0.8871194379391101, hmean: 0.8724090280976509, fps: 77.43416234764446 [2024/03/07 00:15:14] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:15:16] ppocr INFO: epoch: [180/200], global_step: 4680, lr: 0.000006, loss: 0.000497, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13026 s, avg_samples: 7.5, ips: 57.57864 samples/s, eta: 0:05:44 [2024/03/07 00:15:29] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:15:32] ppocr INFO: epoch: [181/200], global_step: 4690, lr: 0.000005, loss: 0.000502, avg_reader_cost: 1.32156 s, avg_batch_cost: 1.46414 s, avg_samples: 8.0, ips: 5.46396 samples/s, eta: 0:05:38 [2024/03/07 00:15:34] ppocr INFO: cur metric, precision: 0.8621940163191296, recall: 0.8908665105386416, hmean: 0.8762957843814788, fps: 78.61116594987543 [2024/03/07 00:15:34] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:15:36] ppocr INFO: epoch: [181/200], global_step: 4700, lr: 0.000005, loss: 0.000482, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13688 s, avg_samples: 8.0, ips: 58.44541 samples/s, eta: 0:05:31 [2024/03/07 00:15:38] ppocr INFO: epoch: [181/200], global_step: 4706, lr: 0.000005, loss: 0.000545, avg_reader_cost: 0.00015 s, avg_batch_cost: 0.07428 s, avg_samples: 4.3, ips: 57.88608 samples/s, eta: 0:05:27 [2024/03/07 00:15:50] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:15:52] ppocr INFO: epoch: [182/200], global_step: 4710, lr: 0.000005, loss: 0.000537, avg_reader_cost: 1.32348 s, avg_batch_cost: 1.37996 s, avg_samples: 3.2, ips: 2.31890 samples/s, eta: 0:05:25 [2024/03/07 00:15:54] ppocr INFO: cur metric, precision: 0.8608852755194218, recall: 0.8927400468384075, hmean: 0.8765233386985514, fps: 77.93013922608135 [2024/03/07 00:15:54] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:15:56] ppocr INFO: epoch: [182/200], global_step: 4720, lr: 0.000005, loss: 0.000467, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13721 s, avg_samples: 8.0, ips: 58.30507 samples/s, eta: 0:05:18 [2024/03/07 00:15:59] ppocr INFO: epoch: [182/200], global_step: 4730, lr: 0.000005, loss: 0.000490, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13679 s, avg_samples: 8.0, ips: 58.48462 samples/s, eta: 0:05:11 [2024/03/07 00:16:01] ppocr INFO: cur metric, precision: 0.863677536231884, recall: 0.8932084309133489, hmean: 0.8781947962238085, fps: 78.07827117543276 [2024/03/07 00:16:01] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:16:01] ppocr INFO: epoch: [182/200], global_step: 4732, lr: 0.000005, loss: 0.000496, avg_reader_cost: 0.00006 s, avg_batch_cost: 0.02055 s, avg_samples: 1.1, ips: 53.53919 samples/s, eta: 0:05:10 [2024/03/07 00:16:14] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:16:17] ppocr INFO: epoch: [183/200], global_step: 4740, lr: 0.000005, loss: 0.000491, avg_reader_cost: 1.33216 s, avg_batch_cost: 1.44609 s, avg_samples: 6.4, ips: 4.42572 samples/s, eta: 0:05:05 [2024/03/07 00:16:19] ppocr INFO: epoch: [183/200], global_step: 4750, lr: 0.000005, loss: 0.000484, avg_reader_cost: 0.00036 s, avg_batch_cost: 0.13852 s, avg_samples: 8.0, ips: 57.75439 samples/s, eta: 0:04:58 [2024/03/07 00:16:21] ppocr INFO: cur metric, precision: 0.8623188405797102, recall: 0.8918032786885246, hmean: 0.876813262721621, fps: 77.60293268732639 [2024/03/07 00:16:21] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:16:23] ppocr INFO: epoch: [183/200], global_step: 4758, lr: 0.000005, loss: 0.000482, avg_reader_cost: 0.00023 s, avg_batch_cost: 0.10251 s, avg_samples: 5.9, ips: 57.55695 samples/s, eta: 0:04:52 [2024/03/07 00:16:36] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:16:37] ppocr INFO: epoch: [184/200], global_step: 4760, lr: 0.000005, loss: 0.000490, avg_reader_cost: 1.34052 s, avg_batch_cost: 1.36956 s, avg_samples: 1.6, ips: 1.16826 samples/s, eta: 0:04:52 [2024/03/07 00:16:41] ppocr INFO: cur metric, precision: 0.8623188405797102, recall: 0.8918032786885246, hmean: 0.876813262721621, fps: 78.20716248284046 [2024/03/07 00:16:41] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:16:41] ppocr INFO: epoch: [184/200], global_step: 4770, lr: 0.000005, loss: 0.000466, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13767 s, avg_samples: 8.0, ips: 58.11080 samples/s, eta: 0:04:45 [2024/03/07 00:16:44] ppocr INFO: epoch: [184/200], global_step: 4780, lr: 0.000005, loss: 0.000514, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13706 s, avg_samples: 8.0, ips: 58.36664 samples/s, eta: 0:04:38 [2024/03/07 00:16:45] ppocr INFO: epoch: [184/200], global_step: 4784, lr: 0.000005, loss: 0.000450, avg_reader_cost: 0.00010 s, avg_batch_cost: 0.04698 s, avg_samples: 2.7, ips: 57.47246 samples/s, eta: 0:04:35 [2024/03/07 00:16:58] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:17:01] ppocr INFO: cur metric, precision: 0.8630385487528345, recall: 0.8913348946135832, hmean: 0.8769585253456222, fps: 77.72484852927309 [2024/03/07 00:17:01] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:17:01] ppocr INFO: epoch: [185/200], global_step: 4790, lr: 0.000004, loss: 0.000480, avg_reader_cost: 1.32566 s, avg_batch_cost: 1.41128 s, avg_samples: 4.8, ips: 3.40116 samples/s, eta: 0:04:32 [2024/03/07 00:17:04] ppocr INFO: epoch: [185/200], global_step: 4800, lr: 0.000004, loss: 0.000443, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13732 s, avg_samples: 8.0, ips: 58.25746 samples/s, eta: 0:04:25 [2024/03/07 00:17:07] ppocr INFO: cur metric, precision: 0.8643990929705215, recall: 0.8927400468384075, hmean: 0.8783410138248848, fps: 77.68933679691882 [2024/03/07 00:17:07] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:17:08] ppocr INFO: epoch: [185/200], global_step: 4810, lr: 0.000004, loss: 0.000447, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.12982 s, avg_samples: 7.5, ips: 57.77188 samples/s, eta: 0:04:18 [2024/03/07 00:17:22] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:17:25] ppocr INFO: epoch: [186/200], global_step: 4820, lr: 0.000004, loss: 0.000425, avg_reader_cost: 1.39267 s, avg_batch_cost: 1.53204 s, avg_samples: 8.0, ips: 5.22181 samples/s, eta: 0:04:12 [2024/03/07 00:17:28] ppocr INFO: cur metric, precision: 0.8663636363636363, recall: 0.8927400468384075, hmean: 0.8793540945790079, fps: 77.6939099107406 [2024/03/07 00:17:28] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:17:29] ppocr INFO: epoch: [186/200], global_step: 4830, lr: 0.000004, loss: 0.000475, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13795 s, avg_samples: 8.0, ips: 57.99081 samples/s, eta: 0:04:05 [2024/03/07 00:17:31] ppocr INFO: epoch: [186/200], global_step: 4836, lr: 0.000004, loss: 0.000524, avg_reader_cost: 0.00016 s, avg_batch_cost: 0.07580 s, avg_samples: 4.3, ips: 56.72624 samples/s, eta: 0:04:01 [2024/03/07 00:17:44] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:17:45] ppocr INFO: epoch: [187/200], global_step: 4840, lr: 0.000004, loss: 0.000522, avg_reader_cost: 1.34647 s, avg_batch_cost: 1.40516 s, avg_samples: 3.2, ips: 2.27732 samples/s, eta: 0:03:59 [2024/03/07 00:17:48] ppocr INFO: cur metric, precision: 0.8643375680580763, recall: 0.892271662763466, hmean: 0.8780825074902051, fps: 77.61761261201984 [2024/03/07 00:17:48] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:17:49] ppocr INFO: epoch: [187/200], global_step: 4850, lr: 0.000004, loss: 0.000442, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13782 s, avg_samples: 8.0, ips: 58.04569 samples/s, eta: 0:03:52 [2024/03/07 00:17:52] ppocr INFO: epoch: [187/200], global_step: 4860, lr: 0.000004, loss: 0.000439, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13671 s, avg_samples: 8.0, ips: 58.51934 samples/s, eta: 0:03:45 [2024/03/07 00:17:53] ppocr INFO: epoch: [187/200], global_step: 4862, lr: 0.000004, loss: 0.000411, avg_reader_cost: 0.00005 s, avg_batch_cost: 0.01992 s, avg_samples: 1.1, ips: 55.22957 samples/s, eta: 0:03:43 [2024/03/07 00:18:05] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:18:08] ppocr INFO: cur metric, precision: 0.8643990929705215, recall: 0.8927400468384075, hmean: 0.8783410138248848, fps: 77.78872328666404 [2024/03/07 00:18:08] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:18:10] ppocr INFO: epoch: [188/200], global_step: 4870, lr: 0.000004, loss: 0.000438, avg_reader_cost: 1.32756 s, avg_batch_cost: 1.44054 s, avg_samples: 6.4, ips: 4.44276 samples/s, eta: 0:03:39 [2024/03/07 00:18:12] ppocr INFO: epoch: [188/200], global_step: 4880, lr: 0.000004, loss: 0.000416, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13739 s, avg_samples: 8.0, ips: 58.22694 samples/s, eta: 0:03:32 [2024/03/07 00:18:15] ppocr INFO: cur metric, precision: 0.8640072529465095, recall: 0.8927400468384075, hmean: 0.8781386777240267, fps: 77.74860511242515 [2024/03/07 00:18:15] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:18:16] ppocr INFO: epoch: [188/200], global_step: 4888, lr: 0.000004, loss: 0.000418, avg_reader_cost: 0.00025 s, avg_batch_cost: 0.10214 s, avg_samples: 5.9, ips: 57.76294 samples/s, eta: 0:03:26 [2024/03/07 00:18:29] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:18:30] ppocr INFO: epoch: [189/200], global_step: 4890, lr: 0.000004, loss: 0.000418, avg_reader_cost: 1.33572 s, avg_batch_cost: 1.36698 s, avg_samples: 1.6, ips: 1.17046 samples/s, eta: 0:03:26 [2024/03/07 00:18:33] ppocr INFO: epoch: [189/200], global_step: 4900, lr: 0.000003, loss: 0.000415, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13706 s, avg_samples: 8.0, ips: 58.36899 samples/s, eta: 0:03:19 [2024/03/07 00:18:35] ppocr INFO: cur metric, precision: 0.864521975532397, recall: 0.8936768149882904, hmean: 0.878857669276831, fps: 78.10453902916221 [2024/03/07 00:18:35] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:18:37] ppocr INFO: epoch: [189/200], global_step: 4910, lr: 0.000003, loss: 0.000435, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.13706 s, avg_samples: 8.0, ips: 58.36658 samples/s, eta: 0:03:12 [2024/03/07 00:18:38] ppocr INFO: epoch: [189/200], global_step: 4914, lr: 0.000003, loss: 0.000431, avg_reader_cost: 0.00011 s, avg_batch_cost: 0.04746 s, avg_samples: 2.7, ips: 56.89092 samples/s, eta: 0:03:09 [2024/03/07 00:18:50] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:18:53] ppocr INFO: epoch: [190/200], global_step: 4920, lr: 0.000003, loss: 0.000436, avg_reader_cost: 1.32166 s, avg_batch_cost: 1.40592 s, avg_samples: 4.8, ips: 3.41414 samples/s, eta: 0:03:06 [2024/03/07 00:18:54] ppocr INFO: cur metric, precision: 0.8659700136301681, recall: 0.8927400468384075, hmean: 0.8791512915129152, fps: 78.24503060053155 [2024/03/07 00:18:54] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:18:57] ppocr INFO: epoch: [190/200], global_step: 4930, lr: 0.000003, loss: 0.000405, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13714 s, avg_samples: 8.0, ips: 58.33664 samples/s, eta: 0:02:59 [2024/03/07 00:19:00] ppocr INFO: epoch: [190/200], global_step: 4940, lr: 0.000003, loss: 0.000423, avg_reader_cost: 0.00030 s, avg_batch_cost: 0.12897 s, avg_samples: 7.5, ips: 58.15342 samples/s, eta: 0:02:52 [2024/03/07 00:19:01] ppocr INFO: cur metric, precision: 0.8659700136301681, recall: 0.8927400468384075, hmean: 0.8791512915129152, fps: 77.824005066667 [2024/03/07 00:19:01] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:19:14] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:19:17] ppocr INFO: epoch: [191/200], global_step: 4950, lr: 0.000003, loss: 0.000448, avg_reader_cost: 1.33545 s, avg_batch_cost: 1.47573 s, avg_samples: 8.0, ips: 5.42105 samples/s, eta: 0:02:45 [2024/03/07 00:19:21] ppocr INFO: cur metric, precision: 0.8647299137539719, recall: 0.892271662763466, hmean: 0.8782849239280774, fps: 77.52958443162031 [2024/03/07 00:19:21] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:19:22] ppocr INFO: epoch: [191/200], global_step: 4960, lr: 0.000003, loss: 0.000420, avg_reader_cost: 0.00033 s, avg_batch_cost: 0.13794 s, avg_samples: 8.0, ips: 57.99596 samples/s, eta: 0:02:39 [2024/03/07 00:19:23] ppocr INFO: epoch: [191/200], global_step: 4966, lr: 0.000003, loss: 0.000455, avg_reader_cost: 0.00015 s, avg_batch_cost: 0.07534 s, avg_samples: 4.3, ips: 57.07378 samples/s, eta: 0:02:34 [2024/03/07 00:19:36] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:19:37] ppocr INFO: epoch: [192/200], global_step: 4970, lr: 0.000003, loss: 0.000434, avg_reader_cost: 1.33349 s, avg_batch_cost: 1.38976 s, avg_samples: 3.2, ips: 2.30256 samples/s, eta: 0:02:32 [2024/03/07 00:19:41] ppocr INFO: cur metric, precision: 0.8655767484105359, recall: 0.8927400468384075, hmean: 0.8789485819691031, fps: 78.18665508982136 [2024/03/07 00:19:41] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:19:42] ppocr INFO: epoch: [192/200], global_step: 4980, lr: 0.000003, loss: 0.000394, avg_reader_cost: 0.00032 s, avg_batch_cost: 0.13753 s, avg_samples: 8.0, ips: 58.16928 samples/s, eta: 0:02:25 [2024/03/07 00:19:44] ppocr INFO: epoch: [192/200], global_step: 4990, lr: 0.000003, loss: 0.000477, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13786 s, avg_samples: 8.0, ips: 58.03075 samples/s, eta: 0:02:19 [2024/03/07 00:19:45] ppocr INFO: epoch: [192/200], global_step: 4992, lr: 0.000003, loss: 0.000460, avg_reader_cost: 0.00004 s, avg_batch_cost: 0.02068 s, avg_samples: 1.1, ips: 53.18352 samples/s, eta: 0:02:17 [2024/03/07 00:19:58] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:20:01] ppocr INFO: cur metric, precision: 0.8667576170986813, recall: 0.8927400468384075, hmean: 0.8795569912321182, fps: 77.8446758026725 [2024/03/07 00:20:01] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:20:02] ppocr INFO: epoch: [193/200], global_step: 5000, lr: 0.000002, loss: 0.000407, avg_reader_cost: 1.33765 s, avg_batch_cost: 1.45093 s, avg_samples: 6.4, ips: 4.41097 samples/s, eta: 0:02:12 [2024/03/07 00:20:05] ppocr INFO: epoch: [193/200], global_step: 5010, lr: 0.000002, loss: 0.000418, avg_reader_cost: 0.00028 s, avg_batch_cost: 0.13709 s, avg_samples: 8.0, ips: 58.35584 samples/s, eta: 0:02:05 [2024/03/07 00:20:08] ppocr INFO: cur metric, precision: 0.8671519563239308, recall: 0.8927400468384075, hmean: 0.8797599815370413, fps: 77.66737416641085 [2024/03/07 00:20:08] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:20:08] ppocr INFO: epoch: [193/200], global_step: 5018, lr: 0.000002, loss: 0.000436, avg_reader_cost: 0.00022 s, avg_batch_cost: 0.10229 s, avg_samples: 5.9, ips: 57.67698 samples/s, eta: 0:02:00 [2024/03/07 00:20:22] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:20:23] ppocr INFO: epoch: [194/200], global_step: 5020, lr: 0.000002, loss: 0.000452, avg_reader_cost: 1.37959 s, avg_batch_cost: 1.40813 s, avg_samples: 1.6, ips: 1.13626 samples/s, eta: 0:01:59 [2024/03/07 00:20:25] ppocr INFO: epoch: [194/200], global_step: 5030, lr: 0.000002, loss: 0.000436, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13687 s, avg_samples: 8.0, ips: 58.45117 samples/s, eta: 0:01:52 [2024/03/07 00:20:28] ppocr INFO: cur metric, precision: 0.8667576170986813, recall: 0.8927400468384075, hmean: 0.8795569912321182, fps: 78.43299956117605 [2024/03/07 00:20:28] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:20:30] ppocr INFO: epoch: [194/200], global_step: 5040, lr: 0.000002, loss: 0.000452, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13709 s, avg_samples: 8.0, ips: 58.35757 samples/s, eta: 0:01:45 [2024/03/07 00:20:31] ppocr INFO: epoch: [194/200], global_step: 5044, lr: 0.000002, loss: 0.000452, avg_reader_cost: 0.00011 s, avg_batch_cost: 0.04718 s, avg_samples: 2.7, ips: 57.23098 samples/s, eta: 0:01:43 [2024/03/07 00:20:43] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:20:46] ppocr INFO: epoch: [195/200], global_step: 5050, lr: 0.000002, loss: 0.000437, avg_reader_cost: 1.33635 s, avg_batch_cost: 1.42240 s, avg_samples: 4.8, ips: 3.37458 samples/s, eta: 0:01:39 [2024/03/07 00:20:48] ppocr INFO: cur metric, precision: 0.8619909502262444, recall: 0.892271662763466, hmean: 0.8768699654775605, fps: 78.63474676472279 [2024/03/07 00:20:48] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:20:50] ppocr INFO: epoch: [195/200], global_step: 5060, lr: 0.000002, loss: 0.000421, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13731 s, avg_samples: 8.0, ips: 58.26118 samples/s, eta: 0:01:32 [2024/03/07 00:20:52] ppocr INFO: epoch: [195/200], global_step: 5070, lr: 0.000002, loss: 0.000397, avg_reader_cost: 0.00022 s, avg_batch_cost: 0.12847 s, avg_samples: 7.5, ips: 58.38155 samples/s, eta: 0:01:26 [2024/03/07 00:21:05] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:21:08] ppocr INFO: cur metric, precision: 0.8616010854816825, recall: 0.892271662763466, hmean: 0.8766682006442706, fps: 77.69937916631847 [2024/03/07 00:21:08] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:21:10] ppocr INFO: epoch: [196/200], global_step: 5080, lr: 0.000002, loss: 0.000420, avg_reader_cost: 1.34403 s, avg_batch_cost: 1.48128 s, avg_samples: 8.0, ips: 5.40075 samples/s, eta: 0:01:19 [2024/03/07 00:21:13] ppocr INFO: epoch: [196/200], global_step: 5090, lr: 0.000002, loss: 0.000411, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13824 s, avg_samples: 8.0, ips: 57.87110 samples/s, eta: 0:01:12 [2024/03/07 00:21:15] ppocr INFO: cur metric, precision: 0.8616010854816825, recall: 0.892271662763466, hmean: 0.8766682006442706, fps: 78.2864746305999 [2024/03/07 00:21:15] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:21:16] ppocr INFO: epoch: [196/200], global_step: 5096, lr: 0.000002, loss: 0.000404, avg_reader_cost: 0.00016 s, avg_batch_cost: 0.07433 s, avg_samples: 4.3, ips: 57.85147 samples/s, eta: 0:01:08 [2024/03/07 00:21:29] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:21:30] ppocr INFO: epoch: [197/200], global_step: 5100, lr: 0.000002, loss: 0.000412, avg_reader_cost: 1.33138 s, avg_batch_cost: 1.38844 s, avg_samples: 3.2, ips: 2.30475 samples/s, eta: 0:01:06 [2024/03/07 00:21:33] ppocr INFO: epoch: [197/200], global_step: 5110, lr: 0.000001, loss: 0.000441, avg_reader_cost: 0.00037 s, avg_batch_cost: 0.13746 s, avg_samples: 8.0, ips: 58.20026 samples/s, eta: 0:00:59 [2024/03/07 00:21:35] ppocr INFO: cur metric, precision: 0.862053369516056, recall: 0.8927400468384075, hmean: 0.8771283939254486, fps: 77.6870024778353 [2024/03/07 00:21:35] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:21:37] ppocr INFO: epoch: [197/200], global_step: 5120, lr: 0.000001, loss: 0.000410, avg_reader_cost: 0.00026 s, avg_batch_cost: 0.13645 s, avg_samples: 8.0, ips: 58.62889 samples/s, eta: 0:00:52 [2024/03/07 00:21:38] ppocr INFO: epoch: [197/200], global_step: 5122, lr: 0.000001, loss: 0.000419, avg_reader_cost: 0.00004 s, avg_batch_cost: 0.02001 s, avg_samples: 1.1, ips: 54.97462 samples/s, eta: 0:00:51 [2024/03/07 00:21:50] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:21:53] ppocr INFO: epoch: [198/200], global_step: 5130, lr: 0.000001, loss: 0.000430, avg_reader_cost: 1.33223 s, avg_batch_cost: 1.44314 s, avg_samples: 6.4, ips: 4.43477 samples/s, eta: 0:00:46 [2024/03/07 00:21:55] ppocr INFO: cur metric, precision: 0.8621157323688969, recall: 0.8932084309133489, hmean: 0.87738670347366, fps: 78.1973124082057 [2024/03/07 00:21:55] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:21:57] ppocr INFO: epoch: [198/200], global_step: 5140, lr: 0.000001, loss: 0.000410, avg_reader_cost: 0.00034 s, avg_batch_cost: 0.13845 s, avg_samples: 8.0, ips: 57.78368 samples/s, eta: 0:00:39 [2024/03/07 00:22:00] ppocr INFO: epoch: [198/200], global_step: 5148, lr: 0.000001, loss: 0.000461, avg_reader_cost: 0.00020 s, avg_batch_cost: 0.10161 s, avg_samples: 5.9, ips: 58.06488 samples/s, eta: 0:00:34 [2024/03/07 00:22:12] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:22:15] ppocr INFO: cur metric, precision: 0.8616636528028933, recall: 0.8927400468384075, hmean: 0.8769266160570508, fps: 76.78212915939162 [2024/03/07 00:22:15] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:22:15] ppocr INFO: epoch: [199/200], global_step: 5150, lr: 0.000001, loss: 0.000443, avg_reader_cost: 1.35377 s, avg_batch_cost: 1.38206 s, avg_samples: 1.6, ips: 1.15769 samples/s, eta: 0:00:33 [2024/03/07 00:22:18] ppocr INFO: epoch: [199/200], global_step: 5160, lr: 0.000001, loss: 0.000447, avg_reader_cost: 0.00029 s, avg_batch_cost: 0.13740 s, avg_samples: 8.0, ips: 58.22346 samples/s, eta: 0:00:26 [2024/03/07 00:22:22] ppocr INFO: cur metric, precision: 0.8616636528028933, recall: 0.8927400468384075, hmean: 0.8769266160570508, fps: 77.93158719443085 [2024/03/07 00:22:22] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:22:22] ppocr INFO: epoch: [199/200], global_step: 5170, lr: 0.000001, loss: 0.000422, avg_reader_cost: 0.00027 s, avg_batch_cost: 0.13682 s, avg_samples: 8.0, ips: 58.46891 samples/s, eta: 0:00:19 [2024/03/07 00:22:23] ppocr INFO: epoch: [199/200], global_step: 5174, lr: 0.000001, loss: 0.000380, avg_reader_cost: 0.00008 s, avg_batch_cost: 0.04690 s, avg_samples: 2.7, ips: 57.57385 samples/s, eta: 0:00:17 [2024/03/07 00:22:36] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:22:38] ppocr INFO: epoch: [200/200], global_step: 5180, lr: 0.000001, loss: 0.000477, avg_reader_cost: 1.33889 s, avg_batch_cost: 1.42463 s, avg_samples: 4.8, ips: 3.36929 samples/s, eta: 0:00:13 [2024/03/07 00:22:42] ppocr INFO: cur metric, precision: 0.8624434389140272, recall: 0.8927400468384075, hmean: 0.8773302646720369, fps: 77.7106719367589 [2024/03/07 00:22:42] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139 [2024/03/07 00:22:42] ppocr INFO: epoch: [200/200], global_step: 5190, lr: 0.000001, loss: 0.000422, avg_reader_cost: 0.00031 s, avg_batch_cost: 0.13720 s, avg_samples: 8.0, ips: 58.31025 samples/s, eta: 0:00:06 [2024/03/07 00:22:45] ppocr INFO: epoch: [200/200], global_step: 5200, lr: 0.000001, loss: 0.000409, avg_reader_cost: 0.00025 s, avg_batch_cost: 0.12906 s, avg_samples: 7.5, ips: 58.11340 samples/s, eta: 0:00:00 [2024/03/07 00:22:58] ppocr INFO: save model in ./output/ser_vi_layoutxlm_xfund_zh/latest [2024/03/07 00:22:58] ppocr INFO: best metric, hmean: 0.886980737990253, precision: 0.8790248390064398, recall: 0.8950819672131147, fps: 77.77010099944621, best_epoch: 139