| { | |
| "best_global_step": 7670, | |
| "best_metric": 0.8496004343032837, | |
| "best_model_checkpoint": "tiny_bert_rand_20_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": 1.1339234113693237, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.9926, | |
| "step": 1534 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5506877228731534, | |
| "eval_loss": 0.9313808679580688, | |
| "eval_runtime": 3.0, | |
| "eval_samples_per_second": 3271.614, | |
| "eval_steps_per_second": 13.0, | |
| "step": 1534 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.3619678020477295, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.9032, | |
| "step": 3068 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.5823739174732552, | |
| "eval_loss": 0.8910712599754333, | |
| "eval_runtime": 2.8007, | |
| "eval_samples_per_second": 3504.45, | |
| "eval_steps_per_second": 13.925, | |
| "step": 3068 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 1.7281922101974487, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.8523, | |
| "step": 4602 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.6031584309730005, | |
| "eval_loss": 0.8651266098022461, | |
| "eval_runtime": 2.8129, | |
| "eval_samples_per_second": 3489.278, | |
| "eval_steps_per_second": 13.865, | |
| "step": 4602 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 1.9255449771881104, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.8089, | |
| "step": 6136 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.6095771777890984, | |
| "eval_loss": 0.8570564985275269, | |
| "eval_runtime": 2.9455, | |
| "eval_samples_per_second": 3332.204, | |
| "eval_steps_per_second": 13.241, | |
| "step": 6136 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 1.6890971660614014, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.7665, | |
| "step": 7670 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.6182373917473255, | |
| "eval_loss": 0.8496004343032837, | |
| "eval_runtime": 2.7913, | |
| "eval_samples_per_second": 3516.255, | |
| "eval_steps_per_second": 13.972, | |
| "step": 7670 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 1.9976463317871094, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.7234, | |
| "step": 9204 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.624350483953133, | |
| "eval_loss": 0.8671989440917969, | |
| "eval_runtime": 2.8098, | |
| "eval_samples_per_second": 3493.092, | |
| "eval_steps_per_second": 13.88, | |
| "step": 9204 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 2.1107654571533203, | |
| "learning_rate": 4.3e-05, | |
| "loss": 0.6827, | |
| "step": 10738 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.6287315333672949, | |
| "eval_loss": 0.8687392473220825, | |
| "eval_runtime": 2.9761, | |
| "eval_samples_per_second": 3297.938, | |
| "eval_steps_per_second": 13.104, | |
| "step": 10738 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 2.3106932640075684, | |
| "learning_rate": 4.2e-05, | |
| "loss": 0.6402, | |
| "step": 12272 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.6142638818135507, | |
| "eval_loss": 0.9203874468803406, | |
| "eval_runtime": 2.8068, | |
| "eval_samples_per_second": 3496.895, | |
| "eval_steps_per_second": 13.895, | |
| "step": 12272 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "grad_norm": 3.1391849517822266, | |
| "learning_rate": 4.1e-05, | |
| "loss": 0.6004, | |
| "step": 13806 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.6229240957717779, | |
| "eval_loss": 0.9506785869598389, | |
| "eval_runtime": 2.9969, | |
| "eval_samples_per_second": 3275.072, | |
| "eval_steps_per_second": 13.014, | |
| "step": 13806 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "grad_norm": 3.063190221786499, | |
| "learning_rate": 4e-05, | |
| "loss": 0.5621, | |
| "step": 15340 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.6297503820682628, | |
| "eval_loss": 0.9863426685333252, | |
| "eval_runtime": 2.7969, | |
| "eval_samples_per_second": 3509.228, | |
| "eval_steps_per_second": 13.944, | |
| "step": 15340 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "step": 15340, | |
| "total_flos": 1.029836100834816e+17, | |
| "train_loss": 0.7532363434036832, | |
| "train_runtime": 2078.1752, | |
| "train_samples_per_second": 9448.241, | |
| "train_steps_per_second": 36.907 | |
| } | |
| ], | |
| "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 | |
| } | |