| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.0, | |
| "global_step": 104, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02, | |
| "learning_rate": 0, | |
| "loss": 2.6804, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "learning_rate": 5e-05, | |
| "loss": 2.5958, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "eval_accuracy": 0.06585978124439663, | |
| "eval_loss": 2.537109375, | |
| "eval_runtime": 16.98, | |
| "eval_samples_per_second": 4.594, | |
| "eval_steps_per_second": 0.589, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 5e-05, | |
| "loss": 2.3784, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "eval_accuracy": 0.06695355926125157, | |
| "eval_loss": 2.50390625, | |
| "eval_runtime": 17.6527, | |
| "eval_samples_per_second": 4.419, | |
| "eval_steps_per_second": 0.566, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "learning_rate": 5e-05, | |
| "loss": 2.3578, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "eval_accuracy": 0.06535771920387305, | |
| "eval_loss": 2.607421875, | |
| "eval_runtime": 17.1023, | |
| "eval_samples_per_second": 4.561, | |
| "eval_steps_per_second": 0.585, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "learning_rate": 5e-05, | |
| "loss": 1.3819, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "eval_accuracy": 0.06575219652142729, | |
| "eval_loss": 2.66796875, | |
| "eval_runtime": 16.8667, | |
| "eval_samples_per_second": 4.625, | |
| "eval_steps_per_second": 0.593, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "learning_rate": 5e-05, | |
| "loss": 1.1529, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "eval_accuracy": 0.06650528958221266, | |
| "eval_loss": 2.673828125, | |
| "eval_runtime": 17.3671, | |
| "eval_samples_per_second": 4.491, | |
| "eval_steps_per_second": 0.576, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "learning_rate": 5e-05, | |
| "loss": 1.2938, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "eval_accuracy": 0.06621839698762776, | |
| "eval_loss": 2.6640625, | |
| "eval_runtime": 17.6569, | |
| "eval_samples_per_second": 4.418, | |
| "eval_steps_per_second": 0.566, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "step": 104, | |
| "total_flos": 7482848575488.0, | |
| "train_loss": 1.82276857816256, | |
| "train_runtime": 1007.1646, | |
| "train_samples_per_second": 0.826, | |
| "train_steps_per_second": 0.103 | |
| } | |
| ], | |
| "max_steps": 104, | |
| "num_train_epochs": 2, | |
| "total_flos": 7482848575488.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |