Orange-655321's picture
End of training
2076cd2 verified
{
"best_metric": 0.9,
"best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-114",
"epoch": 3.22972972972973,
"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": 6.274120330810547,
"learning_rate": 3.3333333333333335e-05,
"loss": 2.3166,
"step": 10
},
{
"epoch": 0.13513513513513514,
"grad_norm": 7.531378269195557,
"learning_rate": 4.81203007518797e-05,
"loss": 2.1931,
"step": 20
},
{
"epoch": 0.20270270270270271,
"grad_norm": 7.633078098297119,
"learning_rate": 4.43609022556391e-05,
"loss": 2.111,
"step": 30
},
{
"epoch": 0.25675675675675674,
"eval_accuracy": 0.5,
"eval_loss": 1.8015570640563965,
"eval_runtime": 20.5537,
"eval_samples_per_second": 3.406,
"eval_steps_per_second": 0.438,
"step": 38
},
{
"epoch": 1.0135135135135136,
"grad_norm": 11.260424613952637,
"learning_rate": 4.0601503759398494e-05,
"loss": 1.9378,
"step": 40
},
{
"epoch": 1.0810810810810811,
"grad_norm": 9.42284870147705,
"learning_rate": 3.6842105263157895e-05,
"loss": 1.5007,
"step": 50
},
{
"epoch": 1.1486486486486487,
"grad_norm": 10.917902946472168,
"learning_rate": 3.3082706766917295e-05,
"loss": 1.2527,
"step": 60
},
{
"epoch": 1.2162162162162162,
"grad_norm": 6.6887102127075195,
"learning_rate": 2.9323308270676693e-05,
"loss": 0.9127,
"step": 70
},
{
"epoch": 1.2567567567567568,
"eval_accuracy": 0.7571428571428571,
"eval_loss": 0.8593908548355103,
"eval_runtime": 19.406,
"eval_samples_per_second": 3.607,
"eval_steps_per_second": 0.464,
"step": 76
},
{
"epoch": 2.027027027027027,
"grad_norm": 7.911215782165527,
"learning_rate": 2.556390977443609e-05,
"loss": 0.8361,
"step": 80
},
{
"epoch": 2.0945945945945947,
"grad_norm": 17.41940689086914,
"learning_rate": 2.1804511278195487e-05,
"loss": 0.6269,
"step": 90
},
{
"epoch": 2.1621621621621623,
"grad_norm": 14.612859725952148,
"learning_rate": 1.8045112781954888e-05,
"loss": 0.6656,
"step": 100
},
{
"epoch": 2.22972972972973,
"grad_norm": 5.549419403076172,
"learning_rate": 1.4285714285714285e-05,
"loss": 0.4873,
"step": 110
},
{
"epoch": 2.2567567567567566,
"eval_accuracy": 0.9,
"eval_loss": 0.4942115247249603,
"eval_runtime": 19.9286,
"eval_samples_per_second": 3.513,
"eval_steps_per_second": 0.452,
"step": 114
},
{
"epoch": 3.0405405405405403,
"grad_norm": 3.9581756591796875,
"learning_rate": 1.0526315789473684e-05,
"loss": 0.3739,
"step": 120
},
{
"epoch": 3.108108108108108,
"grad_norm": 14.909950256347656,
"learning_rate": 6.766917293233083e-06,
"loss": 0.3,
"step": 130
},
{
"epoch": 3.175675675675676,
"grad_norm": 7.838873386383057,
"learning_rate": 3.007518796992481e-06,
"loss": 0.3481,
"step": 140
},
{
"epoch": 3.22972972972973,
"eval_accuracy": 0.8857142857142857,
"eval_loss": 0.39098191261291504,
"eval_runtime": 19.9901,
"eval_samples_per_second": 3.502,
"eval_steps_per_second": 0.45,
"step": 148
},
{
"epoch": 3.22972972972973,
"step": 148,
"total_flos": 1.460491890402263e+18,
"train_loss": 1.0857644306646812,
"train_runtime": 945.9168,
"train_samples_per_second": 1.252,
"train_steps_per_second": 0.156
},
{
"epoch": 3.22972972972973,
"eval_accuracy": 0.8258064516129032,
"eval_loss": 0.5008033514022827,
"eval_runtime": 41.8041,
"eval_samples_per_second": 3.708,
"eval_steps_per_second": 0.478,
"step": 148
},
{
"epoch": 3.22972972972973,
"eval_accuracy": 0.8258064516129032,
"eval_loss": 0.5008033514022827,
"eval_runtime": 39.3717,
"eval_samples_per_second": 3.937,
"eval_steps_per_second": 0.508,
"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": 1.460491890402263e+18,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}