tiny_bert_km_20_v1_cola / trainer_state.json
Hartunka's picture
End of training
206aa83 verified
{
"best_global_step": 34,
"best_metric": 0.621012270450592,
"best_model_checkpoint": "tiny_bert_km_20_v1_cola/checkpoint-34",
"epoch": 6.0,
"eval_steps": 500,
"global_step": 204,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 0.6240780353546143,
"learning_rate": 4.9e-05,
"loss": 0.6189,
"step": 34
},
{
"epoch": 1.0,
"eval_accuracy": 0.6912751793861389,
"eval_loss": 0.621012270450592,
"eval_matthews_correlation": 0.0,
"eval_runtime": 0.349,
"eval_samples_per_second": 2988.382,
"eval_steps_per_second": 14.326,
"step": 34
},
{
"epoch": 2.0,
"grad_norm": 0.9508184194564819,
"learning_rate": 4.8e-05,
"loss": 0.6054,
"step": 68
},
{
"epoch": 2.0,
"eval_accuracy": 0.6912751793861389,
"eval_loss": 0.6221826672554016,
"eval_matthews_correlation": 0.0,
"eval_runtime": 0.3272,
"eval_samples_per_second": 3187.695,
"eval_steps_per_second": 15.281,
"step": 68
},
{
"epoch": 3.0,
"grad_norm": 1.0832624435424805,
"learning_rate": 4.7e-05,
"loss": 0.5963,
"step": 102
},
{
"epoch": 3.0,
"eval_accuracy": 0.6893576383590698,
"eval_loss": 0.6258023977279663,
"eval_matthews_correlation": -0.02929206145132745,
"eval_runtime": 0.3266,
"eval_samples_per_second": 3193.301,
"eval_steps_per_second": 15.308,
"step": 102
},
{
"epoch": 4.0,
"grad_norm": 0.9972037076950073,
"learning_rate": 4.600000000000001e-05,
"loss": 0.5762,
"step": 136
},
{
"epoch": 4.0,
"eval_accuracy": 0.6586769223213196,
"eval_loss": 0.6420552134513855,
"eval_matthews_correlation": 0.007101634138319549,
"eval_runtime": 0.3708,
"eval_samples_per_second": 2812.855,
"eval_steps_per_second": 13.484,
"step": 136
},
{
"epoch": 5.0,
"grad_norm": 2.118736505508423,
"learning_rate": 4.5e-05,
"loss": 0.5409,
"step": 170
},
{
"epoch": 5.0,
"eval_accuracy": 0.6807286739349365,
"eval_loss": 0.6646057963371277,
"eval_matthews_correlation": 0.057064889008809946,
"eval_runtime": 0.3249,
"eval_samples_per_second": 3210.474,
"eval_steps_per_second": 15.391,
"step": 170
},
{
"epoch": 6.0,
"grad_norm": 2.346623420715332,
"learning_rate": 4.4000000000000006e-05,
"loss": 0.4934,
"step": 204
},
{
"epoch": 6.0,
"eval_accuracy": 0.6452540755271912,
"eval_loss": 0.7104889154434204,
"eval_matthews_correlation": 0.038032706075893756,
"eval_runtime": 0.3558,
"eval_samples_per_second": 2931.596,
"eval_steps_per_second": 14.054,
"step": 204
},
{
"epoch": 6.0,
"step": 204,
"total_flos": 1345426898614272.0,
"train_loss": 0.5718443440456017,
"train_runtime": 34.8494,
"train_samples_per_second": 12268.486,
"train_steps_per_second": 48.781
}
],
"logging_steps": 1,
"max_steps": 1700,
"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": 1345426898614272.0,
"train_batch_size": 256,
"trial_name": null,
"trial_params": null
}