| { | |
| "best_global_step": 410, | |
| "best_metric": 0.6495097875595093, | |
| "best_model_checkpoint": "tiny_bert_rand_100_v2_qnli/checkpoint-410", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 2460, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 1.4908751249313354, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.666, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6168771737140765, | |
| "eval_loss": 0.6495097875595093, | |
| "eval_runtime": 1.6474, | |
| "eval_samples_per_second": 3316.126, | |
| "eval_steps_per_second": 13.354, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.4664387702941895, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.6355, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.6247483067911404, | |
| "eval_loss": 0.6537632942199707, | |
| "eval_runtime": 1.5717, | |
| "eval_samples_per_second": 3475.962, | |
| "eval_steps_per_second": 13.998, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 2.392573356628418, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.5919, | |
| "step": 1230 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.6159619256818598, | |
| "eval_loss": 0.6659488677978516, | |
| "eval_runtime": 1.554, | |
| "eval_samples_per_second": 3515.369, | |
| "eval_steps_per_second": 14.157, | |
| "step": 1230 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 3.3592777252197266, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.531, | |
| "step": 1640 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.6207212154493867, | |
| "eval_loss": 0.7202514410018921, | |
| "eval_runtime": 1.5784, | |
| "eval_samples_per_second": 3461.089, | |
| "eval_steps_per_second": 13.938, | |
| "step": 1640 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 4.560001373291016, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.4603, | |
| "step": 2050 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.6132161815852096, | |
| "eval_loss": 0.7936855554580688, | |
| "eval_runtime": 1.5551, | |
| "eval_samples_per_second": 3513.016, | |
| "eval_steps_per_second": 14.147, | |
| "step": 2050 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 6.721935749053955, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.3924, | |
| "step": 2460 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.6068094453596925, | |
| "eval_loss": 0.9373321533203125, | |
| "eval_runtime": 1.654, | |
| "eval_samples_per_second": 3302.864, | |
| "eval_steps_per_second": 13.301, | |
| "step": 2460 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "step": 2460, | |
| "total_flos": 1.6480417453111296e+16, | |
| "train_loss": 0.5461745967709921, | |
| "train_runtime": 341.9865, | |
| "train_samples_per_second": 15313.908, | |
| "train_steps_per_second": 59.944 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 20500, | |
| "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": 1.6480417453111296e+16, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |