| { | |
| "best_global_step": 34, | |
| "best_metric": 0.6225768327713013, | |
| "best_model_checkpoint": "bert_base_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": 1.3155686855316162, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.6182, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6912751793861389, | |
| "eval_loss": 0.6225768327713013, | |
| "eval_matthews_correlation": 0.0, | |
| "eval_runtime": 0.6878, | |
| "eval_samples_per_second": 1516.325, | |
| "eval_steps_per_second": 7.269, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.696873426437378, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.591, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.6893576383590698, | |
| "eval_loss": 0.6297030448913574, | |
| "eval_matthews_correlation": 0.07656947466775693, | |
| "eval_runtime": 0.675, | |
| "eval_samples_per_second": 1545.239, | |
| "eval_steps_per_second": 7.408, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 1.9348201751708984, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.5432, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.6797698736190796, | |
| "eval_loss": 0.6300162076950073, | |
| "eval_matthews_correlation": 0.08088406701239864, | |
| "eval_runtime": 0.6962, | |
| "eval_samples_per_second": 1498.188, | |
| "eval_steps_per_second": 7.182, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 2.5529346466064453, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.4606, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.6519654989242554, | |
| "eval_loss": 0.6926795244216919, | |
| "eval_matthews_correlation": 0.14975092131840292, | |
| "eval_runtime": 0.6643, | |
| "eval_samples_per_second": 1570.163, | |
| "eval_steps_per_second": 7.527, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 2.714582681655884, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.3815, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.6567593216896057, | |
| "eval_loss": 0.7553606033325195, | |
| "eval_matthews_correlation": 0.09193331749307261, | |
| "eval_runtime": 0.6983, | |
| "eval_samples_per_second": 1493.613, | |
| "eval_steps_per_second": 7.16, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 3.6072070598602295, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.3147, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.6366251111030579, | |
| "eval_loss": 0.8696136474609375, | |
| "eval_matthews_correlation": 0.09631786888423775, | |
| "eval_runtime": 0.6804, | |
| "eval_samples_per_second": 1532.842, | |
| "eval_steps_per_second": 7.348, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "step": 204, | |
| "total_flos": 6749587903150080.0, | |
| "train_loss": 0.484881274840411, | |
| "train_runtime": 101.9729, | |
| "train_samples_per_second": 4192.78, | |
| "train_steps_per_second": 16.671 | |
| } | |
| ], | |
| "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 | |
| } | |