End of training

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [OFA-Sys/chinese-clip-vit-base-patch16](https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 3.7314
-- Accuracy: 0.0957
+- Accuracy: 0.0955
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 59.67567567567568,
+    "eval_accuracy": 0.09546556919232747,
+    "eval_loss": 3.731440544128418,
+    "eval_runtime": 4.5236,
+    "eval_samples_per_second": 273.455,
+    "eval_steps_per_second": 13.706,
+    "total_flos": 2.1787658809800192e+17,
+    "train_loss": 0.6386864206065302,
+    "train_runtime": 4685.4185,
+    "train_samples_per_second": 118.222,
+    "train_steps_per_second": 0.589
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 59.67567567567568,
+    "eval_accuracy": 0.09546556919232747,
+    "eval_loss": 3.731440544128418,
+    "eval_runtime": 4.5236,
+    "eval_samples_per_second": 273.455,
+    "eval_steps_per_second": 13.706
+}

preprocessor_config.json

@@ -0,0 +1,28 @@
+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": false,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "ChineseCLIPImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,57 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 59.67567567567568,
+    "total_flos": 2.1787658809800192e+17,
+    "train_loss": 0.6386864206065302,
+    "train_runtime": 4685.4185,
+    "train_samples_per_second": 118.222,
+    "train_steps_per_second": 0.589
+}

trainer_state.json

@@ -0,0 +1,202 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 59.67567567567568,
+  "eval_steps": 276,
+  "global_step": 2760,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 5.967567567567568,
+      "grad_norm": 7.085669040679932,
+      "learning_rate": 9.007246376811595e-06,
+      "loss": 1.1802,
+      "step": 276
+    },
+    {
+      "epoch": 5.967567567567568,
+      "eval_accuracy": 0.09781729991915926,
+      "eval_loss": 2.998732089996338,
+      "eval_runtime": 4.6867,
+      "eval_samples_per_second": 263.941,
+      "eval_steps_per_second": 13.229,
+      "step": 276
+    },
+    {
+      "epoch": 11.935135135135136,
+      "grad_norm": 12.396671295166016,
+      "learning_rate": 8.007246376811595e-06,
+      "loss": 0.8645,
+      "step": 552
+    },
+    {
+      "epoch": 11.935135135135136,
+      "eval_accuracy": 0.09822150363783347,
+      "eval_loss": 3.489548683166504,
+      "eval_runtime": 4.7384,
+      "eval_samples_per_second": 261.059,
+      "eval_steps_per_second": 13.085,
+      "step": 552
+    },
+    {
+      "epoch": 17.9027027027027,
+      "grad_norm": 13.397128105163574,
+      "learning_rate": 7.007246376811595e-06,
+      "loss": 0.6579,
+      "step": 828
+    },
+    {
+      "epoch": 17.9027027027027,
+      "eval_accuracy": 0.10158986796011857,
+      "eval_loss": 3.6031882762908936,
+      "eval_runtime": 4.7432,
+      "eval_samples_per_second": 260.795,
+      "eval_steps_per_second": 13.071,
+      "step": 828
+    },
+    {
+      "epoch": 23.87027027027027,
+      "grad_norm": 8.087945938110352,
+      "learning_rate": 6.007246376811595e-06,
+      "loss": 0.595,
+      "step": 1104
+    },
+    {
+      "epoch": 23.87027027027027,
+      "eval_accuracy": 0.09822150363783347,
+      "eval_loss": 3.6242969036102295,
+      "eval_runtime": 4.9069,
+      "eval_samples_per_second": 252.096,
+      "eval_steps_per_second": 12.635,
+      "step": 1104
+    },
+    {
+      "epoch": 29.83783783783784,
+      "grad_norm": 4.8504486083984375,
+      "learning_rate": 5.0072463768115946e-06,
+      "loss": 0.5518,
+      "step": 1380
+    },
+    {
+      "epoch": 29.83783783783784,
+      "eval_accuracy": 0.09749393694421989,
+      "eval_loss": 3.6076433658599854,
+      "eval_runtime": 4.7024,
+      "eval_samples_per_second": 263.059,
+      "eval_steps_per_second": 13.185,
+      "step": 1380
+    },
+    {
+      "epoch": 35.8054054054054,
+      "grad_norm": 7.603194713592529,
+      "learning_rate": 4.007246376811594e-06,
+      "loss": 0.5298,
+      "step": 1656
+    },
+    {
+      "epoch": 35.8054054054054,
+      "eval_accuracy": 0.09714362705470224,
+      "eval_loss": 3.6512610912323,
+      "eval_runtime": 4.7172,
+      "eval_samples_per_second": 262.229,
+      "eval_steps_per_second": 13.143,
+      "step": 1656
+    },
+    {
+      "epoch": 41.77297297297297,
+      "grad_norm": 5.10509729385376,
+      "learning_rate": 3.0072463768115946e-06,
+      "loss": 0.5155,
+      "step": 1932
+    },
+    {
+      "epoch": 41.77297297297297,
+      "eval_accuracy": 0.09700889248181083,
+      "eval_loss": 3.5870466232299805,
+      "eval_runtime": 4.6922,
+      "eval_samples_per_second": 263.627,
+      "eval_steps_per_second": 13.213,
+      "step": 1932
+    },
+    {
+      "epoch": 47.74054054054054,
+      "grad_norm": 2.8337128162384033,
+      "learning_rate": 2.0072463768115945e-06,
+      "loss": 0.5058,
+      "step": 2208
+    },
+    {
+      "epoch": 47.74054054054054,
+      "eval_accuracy": 0.09660468876313662,
+      "eval_loss": 3.6554582118988037,
+      "eval_runtime": 4.7001,
+      "eval_samples_per_second": 263.184,
+      "eval_steps_per_second": 13.191,
+      "step": 2208
+    },
+    {
+      "epoch": 53.70810810810811,
+      "grad_norm": 4.16039514541626,
+      "learning_rate": 1.0108695652173914e-06,
+      "loss": 0.4935,
+      "step": 2484
+    },
+    {
+      "epoch": 53.70810810810811,
+      "eval_accuracy": 0.09602083894727387,
+      "eval_loss": 3.673586130142212,
+      "eval_runtime": 4.7276,
+      "eval_samples_per_second": 261.655,
+      "eval_steps_per_second": 13.114,
+      "step": 2484
+    },
+    {
+      "epoch": 59.67567567567568,
+      "grad_norm": 2.723360061645508,
+      "learning_rate": 1.0869565217391305e-08,
+      "loss": 0.4928,
+      "step": 2760
+    },
+    {
+      "epoch": 59.67567567567568,
+      "eval_accuracy": 0.09571544058205335,
+      "eval_loss": 3.731440544128418,
+      "eval_runtime": 4.6934,
+      "eval_samples_per_second": 263.563,
+      "eval_steps_per_second": 13.21,
+      "step": 2760
+    },
+    {
+      "epoch": 59.67567567567568,
+      "step": 2760,
+      "total_flos": 2.1787658809800192e+17,
+      "train_loss": 0.6386864206065302,
+      "train_runtime": 4685.4185,
+      "train_samples_per_second": 118.222,
+      "train_steps_per_second": 0.589
+    }
+  ],
+  "logging_steps": 276,
+  "max_steps": 2760,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 60,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.1787658809800192e+17,
+  "train_batch_size": 25,
+  "trial_name": null,
+  "trial_params": null
+}