|
{ |
|
"best_metric": 0.9571428571428572, |
|
"best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-133", |
|
"epoch": 7.101351351351352, |
|
"eval_steps": 500, |
|
"global_step": 148, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.06756756756756757, |
|
"grad_norm": 6.901234149932861, |
|
"learning_rate": 3.3333333333333335e-05, |
|
"loss": 2.0115, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.12837837837837837, |
|
"eval_accuracy": 0.5428571428571428, |
|
"eval_loss": 1.546947956085205, |
|
"eval_runtime": 10.0454, |
|
"eval_samples_per_second": 6.968, |
|
"eval_steps_per_second": 0.498, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 1.0067567567567568, |
|
"grad_norm": 7.984360218048096, |
|
"learning_rate": 4.81203007518797e-05, |
|
"loss": 1.6913, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 1.0743243243243243, |
|
"grad_norm": 6.522056579589844, |
|
"learning_rate": 4.43609022556391e-05, |
|
"loss": 1.2145, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 1.1283783783783783, |
|
"eval_accuracy": 0.7, |
|
"eval_loss": 0.9201391935348511, |
|
"eval_runtime": 10.5435, |
|
"eval_samples_per_second": 6.639, |
|
"eval_steps_per_second": 0.474, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 2.0135135135135136, |
|
"grad_norm": 6.391108989715576, |
|
"learning_rate": 4.0601503759398494e-05, |
|
"loss": 0.8009, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 2.081081081081081, |
|
"grad_norm": 8.276566505432129, |
|
"learning_rate": 3.6842105263157895e-05, |
|
"loss": 0.6166, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 2.1283783783783785, |
|
"eval_accuracy": 0.8285714285714286, |
|
"eval_loss": 0.5547969341278076, |
|
"eval_runtime": 11.9084, |
|
"eval_samples_per_second": 5.878, |
|
"eval_steps_per_second": 0.42, |
|
"step": 57 |
|
}, |
|
{ |
|
"epoch": 3.02027027027027, |
|
"grad_norm": 21.176633834838867, |
|
"learning_rate": 3.3082706766917295e-05, |
|
"loss": 0.4484, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 3.0878378378378377, |
|
"grad_norm": 3.571500062942505, |
|
"learning_rate": 2.9323308270676693e-05, |
|
"loss": 0.3255, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 3.1283783783783785, |
|
"eval_accuracy": 0.9, |
|
"eval_loss": 0.35559970140457153, |
|
"eval_runtime": 11.9471, |
|
"eval_samples_per_second": 5.859, |
|
"eval_steps_per_second": 0.419, |
|
"step": 76 |
|
}, |
|
{ |
|
"epoch": 4.027027027027027, |
|
"grad_norm": 3.0831594467163086, |
|
"learning_rate": 2.556390977443609e-05, |
|
"loss": 0.2372, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 4.094594594594595, |
|
"grad_norm": 1.0621541738510132, |
|
"learning_rate": 2.1804511278195487e-05, |
|
"loss": 0.1945, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 4.128378378378378, |
|
"eval_accuracy": 0.8857142857142857, |
|
"eval_loss": 0.2917786240577698, |
|
"eval_runtime": 11.1985, |
|
"eval_samples_per_second": 6.251, |
|
"eval_steps_per_second": 0.446, |
|
"step": 95 |
|
}, |
|
{ |
|
"epoch": 5.033783783783784, |
|
"grad_norm": 7.335643291473389, |
|
"learning_rate": 1.8045112781954888e-05, |
|
"loss": 0.1863, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 5.101351351351352, |
|
"grad_norm": 3.736997604370117, |
|
"learning_rate": 1.4285714285714285e-05, |
|
"loss": 0.098, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 5.128378378378378, |
|
"eval_accuracy": 0.8714285714285714, |
|
"eval_loss": 0.38738560676574707, |
|
"eval_runtime": 11.6146, |
|
"eval_samples_per_second": 6.027, |
|
"eval_steps_per_second": 0.43, |
|
"step": 114 |
|
}, |
|
{ |
|
"epoch": 6.04054054054054, |
|
"grad_norm": 4.334865570068359, |
|
"learning_rate": 1.0526315789473684e-05, |
|
"loss": 0.0613, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 6.108108108108108, |
|
"grad_norm": 6.393611907958984, |
|
"learning_rate": 6.766917293233083e-06, |
|
"loss": 0.0571, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 6.128378378378378, |
|
"eval_accuracy": 0.9571428571428572, |
|
"eval_loss": 0.1539522409439087, |
|
"eval_runtime": 11.8139, |
|
"eval_samples_per_second": 5.925, |
|
"eval_steps_per_second": 0.423, |
|
"step": 133 |
|
}, |
|
{ |
|
"epoch": 7.047297297297297, |
|
"grad_norm": 0.5439800024032593, |
|
"learning_rate": 3.007518796992481e-06, |
|
"loss": 0.0387, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 7.101351351351352, |
|
"eval_accuracy": 0.8571428571428571, |
|
"eval_loss": 0.25466597080230713, |
|
"eval_runtime": 12.6936, |
|
"eval_samples_per_second": 5.515, |
|
"eval_steps_per_second": 0.394, |
|
"step": 148 |
|
}, |
|
{ |
|
"epoch": 7.101351351351352, |
|
"step": 148, |
|
"total_flos": 2.915999166844109e+18, |
|
"train_loss": 0.5411020509294562, |
|
"train_runtime": 849.4097, |
|
"train_samples_per_second": 2.788, |
|
"train_steps_per_second": 0.174 |
|
}, |
|
{ |
|
"epoch": 7.101351351351352, |
|
"eval_accuracy": 0.9096774193548387, |
|
"eval_loss": 0.25891318917274475, |
|
"eval_runtime": 26.949, |
|
"eval_samples_per_second": 5.752, |
|
"eval_steps_per_second": 0.371, |
|
"step": 148 |
|
}, |
|
{ |
|
"epoch": 7.101351351351352, |
|
"eval_accuracy": 0.9096774193548387, |
|
"eval_loss": 0.26174646615982056, |
|
"eval_runtime": 27.2537, |
|
"eval_samples_per_second": 5.687, |
|
"eval_steps_per_second": 0.367, |
|
"step": 148 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 148, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9223372036854775807, |
|
"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": 2.915999166844109e+18, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|