| { | |
| "best_global_step": 34, | |
| "best_metric": 0.6197782754898071, | |
| "best_model_checkpoint": "bert_base_rand_10_v2_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": 0.760583758354187, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.6124, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6912751793861389, | |
| "eval_loss": 0.6197782754898071, | |
| "eval_matthews_correlation": 0.0, | |
| "eval_runtime": 0.6792, | |
| "eval_samples_per_second": 1535.653, | |
| "eval_steps_per_second": 7.362, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.5169968605041504, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.5889, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.690316379070282, | |
| "eval_loss": 0.6246058344841003, | |
| "eval_matthews_correlation": 0.04129856774209186, | |
| "eval_runtime": 0.699, | |
| "eval_samples_per_second": 1492.229, | |
| "eval_steps_per_second": 7.154, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 1.9388715028762817, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.5412, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.6845637559890747, | |
| "eval_loss": 0.6387814283370972, | |
| "eval_matthews_correlation": 0.029692033315243296, | |
| "eval_runtime": 0.674, | |
| "eval_samples_per_second": 1547.589, | |
| "eval_steps_per_second": 7.419, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 4.953024864196777, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.4976, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.6558005809783936, | |
| "eval_loss": 0.7266033887863159, | |
| "eval_matthews_correlation": 0.12227142135867913, | |
| "eval_runtime": 0.6895, | |
| "eval_samples_per_second": 1512.593, | |
| "eval_steps_per_second": 7.251, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 1.9303916692733765, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.4461, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.6730585098266602, | |
| "eval_loss": 0.6882631778717041, | |
| "eval_matthews_correlation": 0.12232784170821964, | |
| "eval_runtime": 0.6714, | |
| "eval_samples_per_second": 1553.494, | |
| "eval_steps_per_second": 7.447, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 4.0536789894104, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.4039, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.6433365345001221, | |
| "eval_loss": 0.8319432139396667, | |
| "eval_matthews_correlation": 0.078501645978455, | |
| "eval_runtime": 0.6953, | |
| "eval_samples_per_second": 1500.174, | |
| "eval_steps_per_second": 7.192, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "step": 204, | |
| "total_flos": 6749587903150080.0, | |
| "train_loss": 0.5150212961084703, | |
| "train_runtime": 100.0509, | |
| "train_samples_per_second": 4273.326, | |
| "train_steps_per_second": 16.991 | |
| } | |
| ], | |
| "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": 6749587903150080.0, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |