| { | |
| "best_global_step": 7670, | |
| "best_metric": 0.8703352808952332, | |
| "best_model_checkpoint": "tiny_bert_km_50_v2_mnli/checkpoint-7670", | |
| "epoch": 10.0, | |
| "eval_steps": 500, | |
| "global_step": 15340, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 1.0268884897232056, | |
| "learning_rate": 4.9e-05, | |
| "loss": 1.0026, | |
| "step": 1534 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5339786041772797, | |
| "eval_loss": 0.9471800327301025, | |
| "eval_runtime": 2.9599, | |
| "eval_samples_per_second": 3316.032, | |
| "eval_steps_per_second": 13.176, | |
| "step": 1534 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.3657726049423218, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.9203, | |
| "step": 3068 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.5731023942944473, | |
| "eval_loss": 0.9026528000831604, | |
| "eval_runtime": 2.8075, | |
| "eval_samples_per_second": 3496.041, | |
| "eval_steps_per_second": 13.892, | |
| "step": 3068 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 1.3580602407455444, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.8675, | |
| "step": 4602 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.5897096281202241, | |
| "eval_loss": 0.8775414228439331, | |
| "eval_runtime": 2.8127, | |
| "eval_samples_per_second": 3489.517, | |
| "eval_steps_per_second": 13.866, | |
| "step": 4602 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 1.4758466482162476, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.8211, | |
| "step": 6136 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5985736118186449, | |
| "eval_loss": 0.8704348802566528, | |
| "eval_runtime": 2.781, | |
| "eval_samples_per_second": 3529.336, | |
| "eval_steps_per_second": 14.024, | |
| "step": 6136 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 1.6115995645523071, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.7773, | |
| "step": 7670 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.6070300560366786, | |
| "eval_loss": 0.8703352808952332, | |
| "eval_runtime": 2.9126, | |
| "eval_samples_per_second": 3369.849, | |
| "eval_steps_per_second": 13.39, | |
| "step": 7670 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 1.9444777965545654, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.7352, | |
| "step": 9204 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.6116148751910341, | |
| "eval_loss": 0.8939315676689148, | |
| "eval_runtime": 2.8219, | |
| "eval_samples_per_second": 3478.123, | |
| "eval_steps_per_second": 13.82, | |
| "step": 9204 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 2.15396785736084, | |
| "learning_rate": 4.3e-05, | |
| "loss": 0.6939, | |
| "step": 10738 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.6115129903209373, | |
| "eval_loss": 0.9022112488746643, | |
| "eval_runtime": 2.8175, | |
| "eval_samples_per_second": 3483.619, | |
| "eval_steps_per_second": 13.842, | |
| "step": 10738 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 2.317307233810425, | |
| "learning_rate": 4.2e-05, | |
| "loss": 0.6533, | |
| "step": 12272 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.6104941416199694, | |
| "eval_loss": 0.9489761590957642, | |
| "eval_runtime": 2.8028, | |
| "eval_samples_per_second": 3501.863, | |
| "eval_steps_per_second": 13.915, | |
| "step": 12272 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "grad_norm": 2.4730122089385986, | |
| "learning_rate": 4.1e-05, | |
| "loss": 0.6136, | |
| "step": 13806 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.6111054508405501, | |
| "eval_loss": 0.9655206203460693, | |
| "eval_runtime": 2.7965, | |
| "eval_samples_per_second": 3509.691, | |
| "eval_steps_per_second": 13.946, | |
| "step": 13806 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "grad_norm": 3.071944236755371, | |
| "learning_rate": 4e-05, | |
| "loss": 0.5745, | |
| "step": 15340 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.6065206316861946, | |
| "eval_loss": 1.0082168579101562, | |
| "eval_runtime": 2.8128, | |
| "eval_samples_per_second": 3489.463, | |
| "eval_steps_per_second": 13.865, | |
| "step": 15340 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "step": 15340, | |
| "total_flos": 1.029836100834816e+17, | |
| "train_loss": 0.7659492064952229, | |
| "train_runtime": 2074.047, | |
| "train_samples_per_second": 9467.047, | |
| "train_steps_per_second": 36.981 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 76700, | |
| "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": 1.029836100834816e+17, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |