| { | |
| "best_global_step": 10, | |
| "best_metric": 0.6832764744758606, | |
| "best_model_checkpoint": "tiny_bert_km_50_v2_rte/checkpoint-10", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 60, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.583885908126831, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.6977, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5451263537906137, | |
| "eval_loss": 0.6832764744758606, | |
| "eval_runtime": 0.0962, | |
| "eval_samples_per_second": 2877.942, | |
| "eval_steps_per_second": 20.779, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.5978738069534302, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.6792, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.5667870036101083, | |
| "eval_loss": 0.689453125, | |
| "eval_runtime": 0.0949, | |
| "eval_samples_per_second": 2918.0, | |
| "eval_steps_per_second": 21.069, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.6238811016082764, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.6629, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.555956678700361, | |
| "eval_loss": 0.6894389390945435, | |
| "eval_runtime": 0.118, | |
| "eval_samples_per_second": 2348.022, | |
| "eval_steps_per_second": 16.953, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.627923309803009, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.6386, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5523465703971119, | |
| "eval_loss": 0.695397138595581, | |
| "eval_runtime": 0.0928, | |
| "eval_samples_per_second": 2986.321, | |
| "eval_steps_per_second": 21.562, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.8814382553100586, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.6076, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.555956678700361, | |
| "eval_loss": 0.7125662565231323, | |
| "eval_runtime": 0.0906, | |
| "eval_samples_per_second": 3058.94, | |
| "eval_steps_per_second": 22.086, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 0.9271029829978943, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.5662, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.5487364620938628, | |
| "eval_loss": 0.7351065278053284, | |
| "eval_runtime": 0.0998, | |
| "eval_samples_per_second": 2775.183, | |
| "eval_steps_per_second": 20.037, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "step": 60, | |
| "total_flos": 391780256993280.0, | |
| "train_loss": 0.6420334180196127, | |
| "train_runtime": 12.7341, | |
| "train_samples_per_second": 9776.895, | |
| "train_steps_per_second": 39.265 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 500, | |
| "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": 391780256993280.0, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |