|
{ |
|
"best_metric": 0.4608415365219116, |
|
"best_model_checkpoint": "./Vit-GPT2-COCO2017Flickr-85k-11/checkpoint-4500", |
|
"epoch": 1.2130260334048708, |
|
"eval_steps": 500, |
|
"global_step": 6500, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.09330969487729775, |
|
"grad_norm": 1.14389169216156, |
|
"learning_rate": 4.8444693293517484e-05, |
|
"loss": 0.378, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.09330969487729775, |
|
"eval_gen_len": 11.7725, |
|
"eval_loss": 0.469292551279068, |
|
"eval_rouge1": 40.2274, |
|
"eval_rouge2": 15.0119, |
|
"eval_rougeL": 36.4563, |
|
"eval_rougeLsum": 36.4656, |
|
"eval_runtime": 450.3853, |
|
"eval_samples_per_second": 8.881, |
|
"eval_steps_per_second": 2.22, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.1866193897545955, |
|
"grad_norm": 0.8436835408210754, |
|
"learning_rate": 4.6889386587034965e-05, |
|
"loss": 0.3748, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.1866193897545955, |
|
"eval_gen_len": 12.16675, |
|
"eval_loss": 0.46400758624076843, |
|
"eval_rouge1": 40.199, |
|
"eval_rouge2": 15.321, |
|
"eval_rougeL": 36.4279, |
|
"eval_rougeLsum": 36.4457, |
|
"eval_runtime": 431.1423, |
|
"eval_samples_per_second": 9.278, |
|
"eval_steps_per_second": 2.319, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.27992908463189325, |
|
"grad_norm": 0.8730084896087646, |
|
"learning_rate": 4.5334079880552446e-05, |
|
"loss": 0.374, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.27992908463189325, |
|
"eval_gen_len": 11.8, |
|
"eval_loss": 0.4668748080730438, |
|
"eval_rouge1": 39.9523, |
|
"eval_rouge2": 15.0587, |
|
"eval_rougeL": 36.3639, |
|
"eval_rougeLsum": 36.375, |
|
"eval_runtime": 424.8986, |
|
"eval_samples_per_second": 9.414, |
|
"eval_steps_per_second": 2.354, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.373238779509191, |
|
"grad_norm": 0.8020262718200684, |
|
"learning_rate": 4.3778773174069934e-05, |
|
"loss": 0.3721, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.373238779509191, |
|
"eval_gen_len": 11.2095, |
|
"eval_loss": 0.46446970105171204, |
|
"eval_rouge1": 40.3597, |
|
"eval_rouge2": 15.2173, |
|
"eval_rougeL": 36.6938, |
|
"eval_rougeLsum": 36.705, |
|
"eval_runtime": 410.7504, |
|
"eval_samples_per_second": 9.738, |
|
"eval_steps_per_second": 2.435, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.4665484743864888, |
|
"grad_norm": 0.8208432793617249, |
|
"learning_rate": 4.222346646758741e-05, |
|
"loss": 0.3673, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 0.4665484743864888, |
|
"eval_gen_len": 11.93425, |
|
"eval_loss": 0.4631750285625458, |
|
"eval_rouge1": 40.3875, |
|
"eval_rouge2": 15.2532, |
|
"eval_rougeL": 36.5923, |
|
"eval_rougeLsum": 36.6182, |
|
"eval_runtime": 441.242, |
|
"eval_samples_per_second": 9.065, |
|
"eval_steps_per_second": 2.266, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 0.5598581692637865, |
|
"grad_norm": 0.807547926902771, |
|
"learning_rate": 4.066815976110489e-05, |
|
"loss": 0.365, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.5598581692637865, |
|
"eval_gen_len": 12.26475, |
|
"eval_loss": 0.4623391330242157, |
|
"eval_rouge1": 39.9395, |
|
"eval_rouge2": 15.0315, |
|
"eval_rougeL": 36.1682, |
|
"eval_rougeLsum": 36.1781, |
|
"eval_runtime": 440.5083, |
|
"eval_samples_per_second": 9.08, |
|
"eval_steps_per_second": 2.27, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.6531678641410843, |
|
"grad_norm": 0.6434993147850037, |
|
"learning_rate": 3.911285305462237e-05, |
|
"loss": 0.3652, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 0.6531678641410843, |
|
"eval_gen_len": 11.8965, |
|
"eval_loss": 0.4611285328865051, |
|
"eval_rouge1": 39.8792, |
|
"eval_rouge2": 14.9961, |
|
"eval_rougeL": 36.2488, |
|
"eval_rougeLsum": 36.2734, |
|
"eval_runtime": 429.9024, |
|
"eval_samples_per_second": 9.304, |
|
"eval_steps_per_second": 2.326, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 0.746477559018382, |
|
"grad_norm": 0.8740318417549133, |
|
"learning_rate": 3.755754634813985e-05, |
|
"loss": 0.3601, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.746477559018382, |
|
"eval_gen_len": 12.0545, |
|
"eval_loss": 0.4625248610973358, |
|
"eval_rouge1": 40.57, |
|
"eval_rouge2": 15.2972, |
|
"eval_rougeL": 36.8012, |
|
"eval_rougeLsum": 36.8227, |
|
"eval_runtime": 431.0422, |
|
"eval_samples_per_second": 9.28, |
|
"eval_steps_per_second": 2.32, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.8397872538956798, |
|
"grad_norm": 0.7394187450408936, |
|
"learning_rate": 3.600223964165734e-05, |
|
"loss": 0.3574, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 0.8397872538956798, |
|
"eval_gen_len": 11.72875, |
|
"eval_loss": 0.4608415365219116, |
|
"eval_rouge1": 40.3276, |
|
"eval_rouge2": 15.1742, |
|
"eval_rougeL": 36.7679, |
|
"eval_rougeLsum": 36.7575, |
|
"eval_runtime": 467.6774, |
|
"eval_samples_per_second": 8.553, |
|
"eval_steps_per_second": 2.138, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 0.9330969487729776, |
|
"grad_norm": 0.841187059879303, |
|
"learning_rate": 3.444693293517482e-05, |
|
"loss": 0.351, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.9330969487729776, |
|
"eval_gen_len": 11.76625, |
|
"eval_loss": 0.4650140404701233, |
|
"eval_rouge1": 40.7345, |
|
"eval_rouge2": 15.5295, |
|
"eval_rougeL": 37.0769, |
|
"eval_rougeLsum": 37.0911, |
|
"eval_runtime": 475.4278, |
|
"eval_samples_per_second": 8.413, |
|
"eval_steps_per_second": 2.103, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 1.0264066436502752, |
|
"grad_norm": 0.8910800814628601, |
|
"learning_rate": 3.28916262286923e-05, |
|
"loss": 0.3322, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 1.0264066436502752, |
|
"eval_gen_len": 12.06, |
|
"eval_loss": 0.48306143283843994, |
|
"eval_rouge1": 40.5582, |
|
"eval_rouge2": 15.2954, |
|
"eval_rougeL": 36.6682, |
|
"eval_rougeLsum": 36.6694, |
|
"eval_runtime": 444.1346, |
|
"eval_samples_per_second": 9.006, |
|
"eval_steps_per_second": 2.252, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 1.119716338527573, |
|
"grad_norm": 0.9060000777244568, |
|
"learning_rate": 3.1336319522209783e-05, |
|
"loss": 0.2914, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 1.119716338527573, |
|
"eval_gen_len": 11.8405, |
|
"eval_loss": 0.4901696741580963, |
|
"eval_rouge1": 40.054, |
|
"eval_rouge2": 15.019, |
|
"eval_rougeL": 36.5476, |
|
"eval_rougeLsum": 36.556, |
|
"eval_runtime": 432.4768, |
|
"eval_samples_per_second": 9.249, |
|
"eval_steps_per_second": 2.312, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 1.2130260334048708, |
|
"grad_norm": 0.9239944219589233, |
|
"learning_rate": 2.978101281572726e-05, |
|
"loss": 0.2945, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 1.2130260334048708, |
|
"eval_gen_len": 11.84225, |
|
"eval_loss": 0.48632147908210754, |
|
"eval_rouge1": 40.3126, |
|
"eval_rouge2": 15.3154, |
|
"eval_rougeL": 36.61, |
|
"eval_rougeLsum": 36.6146, |
|
"eval_runtime": 433.2065, |
|
"eval_samples_per_second": 9.233, |
|
"eval_steps_per_second": 2.308, |
|
"step": 6500 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 16074, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1.876788374871107e+19, |
|
"train_batch_size": 4, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|