| { |
| "best_metric": 0.6237846612930298, |
| "best_model_checkpoint": "tiny_bert_km_100_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": 0.7257574200630188, |
| "learning_rate": 4.9e-05, |
| "loss": 0.6196, |
| "step": 34 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.6912751793861389, |
| "eval_loss": 0.6237846612930298, |
| "eval_matthews_correlation": 0.0, |
| "eval_runtime": 0.3991, |
| "eval_samples_per_second": 2613.323, |
| "eval_steps_per_second": 12.528, |
| "step": 34 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 1.121646761894226, |
| "learning_rate": 4.8e-05, |
| "loss": 0.6075, |
| "step": 68 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.6912751793861389, |
| "eval_loss": 0.6263473629951477, |
| "eval_matthews_correlation": 0.0, |
| "eval_runtime": 0.4095, |
| "eval_samples_per_second": 2546.705, |
| "eval_steps_per_second": 12.209, |
| "step": 68 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 0.8357798457145691, |
| "learning_rate": 4.7e-05, |
| "loss": 0.5972, |
| "step": 102 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.6912751793861389, |
| "eval_loss": 0.6293219923973083, |
| "eval_matthews_correlation": 0.0, |
| "eval_runtime": 0.3815, |
| "eval_samples_per_second": 2733.875, |
| "eval_steps_per_second": 13.106, |
| "step": 102 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 1.1285151243209839, |
| "learning_rate": 4.600000000000001e-05, |
| "loss": 0.5804, |
| "step": 136 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.668264627456665, |
| "eval_loss": 0.635418713092804, |
| "eval_matthews_correlation": -0.019583278456274576, |
| "eval_runtime": 0.481, |
| "eval_samples_per_second": 2168.225, |
| "eval_steps_per_second": 10.394, |
| "step": 136 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 1.3463857173919678, |
| "learning_rate": 4.5e-05, |
| "loss": 0.5561, |
| "step": 170 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.6673058271408081, |
| "eval_loss": 0.6380937099456787, |
| "eval_matthews_correlation": 0.036081175524456124, |
| "eval_runtime": 0.3833, |
| "eval_samples_per_second": 2721.024, |
| "eval_steps_per_second": 13.044, |
| "step": 170 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 2.237225294113159, |
| "learning_rate": 4.4000000000000006e-05, |
| "loss": 0.5088, |
| "step": 204 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.6615532040596008, |
| "eval_loss": 0.6592812538146973, |
| "eval_matthews_correlation": 0.05373746752832175, |
| "eval_runtime": 0.4768, |
| "eval_samples_per_second": 2187.53, |
| "eval_steps_per_second": 10.487, |
| "step": 204 |
| }, |
| { |
| "epoch": 6.0, |
| "step": 204, |
| "total_flos": 1345426898614272.0, |
| "train_loss": 0.5782780647277832, |
| "train_runtime": 41.8478, |
| "train_samples_per_second": 10216.779, |
| "train_steps_per_second": 40.623 |
| } |
| ], |
| "logging_steps": 1, |
| "max_steps": 1700, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 50, |
| "save_steps": 500, |
| "total_flos": 1345426898614272.0, |
| "train_batch_size": 256, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
