| { | |
| "best_global_step": 264, | |
| "best_metric": 0.4347452223300934, | |
| "best_model_checkpoint": "bert_base_rand_50_v2_sst2/checkpoint-264", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 1584, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 7.811213970184326, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.3864, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8027522935779816, | |
| "eval_loss": 0.4347452223300934, | |
| "eval_runtime": 0.5741, | |
| "eval_samples_per_second": 1518.777, | |
| "eval_steps_per_second": 6.967, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 7.949086666107178, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.2165, | |
| "step": 528 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8027522935779816, | |
| "eval_loss": 0.5241801738739014, | |
| "eval_runtime": 0.5788, | |
| "eval_samples_per_second": 1506.68, | |
| "eval_steps_per_second": 6.911, | |
| "step": 528 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 4.619488716125488, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.1588, | |
| "step": 792 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.7924311926605505, | |
| "eval_loss": 0.553471565246582, | |
| "eval_runtime": 0.5832, | |
| "eval_samples_per_second": 1495.164, | |
| "eval_steps_per_second": 6.859, | |
| "step": 792 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 9.747478485107422, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.1206, | |
| "step": 1056 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8119266055045872, | |
| "eval_loss": 0.5647808313369751, | |
| "eval_runtime": 0.5838, | |
| "eval_samples_per_second": 1493.58, | |
| "eval_steps_per_second": 6.851, | |
| "step": 1056 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 5.65807580947876, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.0928, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.7970183486238532, | |
| "eval_loss": 0.6491648554801941, | |
| "eval_runtime": 0.5817, | |
| "eval_samples_per_second": 1499.02, | |
| "eval_steps_per_second": 6.876, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 6.006173610687256, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.0724, | |
| "step": 1584 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8245412844036697, | |
| "eval_loss": 0.7118688225746155, | |
| "eval_runtime": 0.5648, | |
| "eval_samples_per_second": 1543.853, | |
| "eval_steps_per_second": 7.082, | |
| "step": 1584 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "step": 1584, | |
| "total_flos": 5.316079940232192e+16, | |
| "train_loss": 0.17456337297805632, | |
| "train_runtime": 670.6712, | |
| "train_samples_per_second": 5021.015, | |
| "train_steps_per_second": 19.682 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 13200, | |
| "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": 5.316079940232192e+16, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |