bert_uncased_L-2_H-128_A-2_mnli / trainer_state.json
gokulsrinivasagan's picture
End of training
f2ea3fe verified
{
"best_metric": 0.6966096758842468,
"best_model_checkpoint": "bert_uncased_L-2_H-128_A-2_mnli/checkpoint-16874",
"epoch": 16.0,
"eval_steps": 500,
"global_step": 24544,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 1.641183853149414,
"learning_rate": 4.9e-05,
"loss": 0.9155,
"step": 1534
},
{
"epoch": 1.0,
"eval_accuracy": 0.6342333163525217,
"eval_loss": 0.8197218775749207,
"eval_runtime": 3.1144,
"eval_samples_per_second": 3151.502,
"eval_steps_per_second": 12.523,
"step": 1534
},
{
"epoch": 2.0,
"grad_norm": 2.0699892044067383,
"learning_rate": 4.8e-05,
"loss": 0.8189,
"step": 3068
},
{
"epoch": 2.0,
"eval_accuracy": 0.6625573102394294,
"eval_loss": 0.7689471244812012,
"eval_runtime": 3.0712,
"eval_samples_per_second": 3195.829,
"eval_steps_per_second": 12.699,
"step": 3068
},
{
"epoch": 3.0,
"grad_norm": 1.7944191694259644,
"learning_rate": 4.7e-05,
"loss": 0.7747,
"step": 4602
},
{
"epoch": 3.0,
"eval_accuracy": 0.6760061130922058,
"eval_loss": 0.7416538596153259,
"eval_runtime": 3.0841,
"eval_samples_per_second": 3182.445,
"eval_steps_per_second": 12.645,
"step": 4602
},
{
"epoch": 4.0,
"grad_norm": 1.8538000583648682,
"learning_rate": 4.600000000000001e-05,
"loss": 0.7449,
"step": 6136
},
{
"epoch": 4.0,
"eval_accuracy": 0.6851757514009169,
"eval_loss": 0.7284622192382812,
"eval_runtime": 3.0649,
"eval_samples_per_second": 3202.403,
"eval_steps_per_second": 12.725,
"step": 6136
},
{
"epoch": 5.0,
"grad_norm": 2.2576873302459717,
"learning_rate": 4.5e-05,
"loss": 0.7198,
"step": 7670
},
{
"epoch": 5.0,
"eval_accuracy": 0.693428425878757,
"eval_loss": 0.7110932469367981,
"eval_runtime": 3.0825,
"eval_samples_per_second": 3184.117,
"eval_steps_per_second": 12.652,
"step": 7670
},
{
"epoch": 6.0,
"grad_norm": 2.2374134063720703,
"learning_rate": 4.4000000000000006e-05,
"loss": 0.6996,
"step": 9204
},
{
"epoch": 6.0,
"eval_accuracy": 0.6977075904228223,
"eval_loss": 0.7117594480514526,
"eval_runtime": 3.0866,
"eval_samples_per_second": 3179.874,
"eval_steps_per_second": 12.635,
"step": 9204
},
{
"epoch": 7.0,
"grad_norm": 2.3460779190063477,
"learning_rate": 4.3e-05,
"loss": 0.6812,
"step": 10738
},
{
"epoch": 7.0,
"eval_accuracy": 0.7030056036678554,
"eval_loss": 0.7004757523536682,
"eval_runtime": 3.0836,
"eval_samples_per_second": 3182.923,
"eval_steps_per_second": 12.647,
"step": 10738
},
{
"epoch": 8.0,
"grad_norm": 2.158047914505005,
"learning_rate": 4.2e-05,
"loss": 0.6649,
"step": 12272
},
{
"epoch": 8.0,
"eval_accuracy": 0.7043301069791136,
"eval_loss": 0.6981356739997864,
"eval_runtime": 3.0881,
"eval_samples_per_second": 3178.334,
"eval_steps_per_second": 12.629,
"step": 12272
},
{
"epoch": 9.0,
"grad_norm": 2.4495298862457275,
"learning_rate": 4.1e-05,
"loss": 0.6491,
"step": 13806
},
{
"epoch": 9.0,
"eval_accuracy": 0.7036169128884361,
"eval_loss": 0.7056555151939392,
"eval_runtime": 3.0711,
"eval_samples_per_second": 3195.888,
"eval_steps_per_second": 12.699,
"step": 13806
},
{
"epoch": 10.0,
"grad_norm": 2.2467546463012695,
"learning_rate": 4e-05,
"loss": 0.6358,
"step": 15340
},
{
"epoch": 10.0,
"eval_accuracy": 0.7076923076923077,
"eval_loss": 0.698304295539856,
"eval_runtime": 3.0715,
"eval_samples_per_second": 3195.477,
"eval_steps_per_second": 12.697,
"step": 15340
},
{
"epoch": 11.0,
"grad_norm": 2.603757619857788,
"learning_rate": 3.9000000000000006e-05,
"loss": 0.6224,
"step": 16874
},
{
"epoch": 11.0,
"eval_accuracy": 0.7063678043810494,
"eval_loss": 0.6966096758842468,
"eval_runtime": 3.0786,
"eval_samples_per_second": 3188.18,
"eval_steps_per_second": 12.668,
"step": 16874
},
{
"epoch": 12.0,
"grad_norm": 2.9877541065216064,
"learning_rate": 3.8e-05,
"loss": 0.6109,
"step": 18408
},
{
"epoch": 12.0,
"eval_accuracy": 0.7145185939887927,
"eval_loss": 0.7001488208770752,
"eval_runtime": 3.1144,
"eval_samples_per_second": 3151.457,
"eval_steps_per_second": 12.522,
"step": 18408
},
{
"epoch": 13.0,
"grad_norm": 2.9254136085510254,
"learning_rate": 3.7e-05,
"loss": 0.5994,
"step": 19942
},
{
"epoch": 13.0,
"eval_accuracy": 0.7112582781456953,
"eval_loss": 0.7014375329017639,
"eval_runtime": 3.0536,
"eval_samples_per_second": 3214.286,
"eval_steps_per_second": 12.772,
"step": 19942
},
{
"epoch": 14.0,
"grad_norm": 2.3332672119140625,
"learning_rate": 3.6e-05,
"loss": 0.5872,
"step": 21476
},
{
"epoch": 14.0,
"eval_accuracy": 0.7084055017829852,
"eval_loss": 0.7061210870742798,
"eval_runtime": 3.0601,
"eval_samples_per_second": 3207.409,
"eval_steps_per_second": 12.745,
"step": 21476
},
{
"epoch": 15.0,
"grad_norm": 3.173841953277588,
"learning_rate": 3.5e-05,
"loss": 0.5779,
"step": 23010
},
{
"epoch": 15.0,
"eval_accuracy": 0.716760061130922,
"eval_loss": 0.7053535580635071,
"eval_runtime": 3.016,
"eval_samples_per_second": 3254.334,
"eval_steps_per_second": 12.931,
"step": 23010
},
{
"epoch": 16.0,
"grad_norm": 2.5497801303863525,
"learning_rate": 3.4000000000000007e-05,
"loss": 0.5681,
"step": 24544
},
{
"epoch": 16.0,
"eval_accuracy": 0.7147223637289862,
"eval_loss": 0.7059070467948914,
"eval_runtime": 3.034,
"eval_samples_per_second": 3234.976,
"eval_steps_per_second": 12.854,
"step": 24544
},
{
"epoch": 16.0,
"step": 24544,
"total_flos": 3992627397378048.0,
"train_loss": 0.6793889937220527,
"train_runtime": 2308.8944,
"train_samples_per_second": 8504.114,
"train_steps_per_second": 33.219
}
],
"logging_steps": 1,
"max_steps": 76700,
"num_input_tokens_seen": 0,
"num_train_epochs": 50,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 5,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 5
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 3992627397378048.0,
"train_batch_size": 256,
"trial_name": null,
"trial_params": null
}