| { | |
| "best_metric": 0.32138827443122864, | |
| "best_model_checkpoint": "outputs/checkpoint-8", | |
| "epoch": 2.0, | |
| "eval_steps": 1, | |
| "global_step": 8, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 4.28125, | |
| "learning_rate": 0.001, | |
| "loss": 4.4445, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_loss": 3.3636646270751953, | |
| "eval_runtime": 0.4504, | |
| "eval_samples_per_second": 104.352, | |
| "eval_steps_per_second": 13.322, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 3.703125, | |
| "learning_rate": 0.001, | |
| "loss": 3.3693, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "eval_loss": 1.7100876569747925, | |
| "eval_runtime": 0.4446, | |
| "eval_samples_per_second": 105.702, | |
| "eval_steps_per_second": 13.494, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "grad_norm": 5.15625, | |
| "learning_rate": 0.001, | |
| "loss": 1.7172, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "eval_loss": 1.4450939893722534, | |
| "eval_runtime": 0.4448, | |
| "eval_samples_per_second": 105.657, | |
| "eval_steps_per_second": 13.488, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 20.5, | |
| "learning_rate": 0.001, | |
| "loss": 1.4513, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 0.8471462726593018, | |
| "eval_runtime": 0.4422, | |
| "eval_samples_per_second": 106.291, | |
| "eval_steps_per_second": 13.569, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "grad_norm": 11.1875, | |
| "learning_rate": 0.001, | |
| "loss": 0.8509, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "eval_loss": 0.5828761458396912, | |
| "eval_runtime": 0.4434, | |
| "eval_samples_per_second": 105.988, | |
| "eval_steps_per_second": 13.53, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 9.875, | |
| "learning_rate": 0.001, | |
| "loss": 0.5781, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "eval_loss": 0.8648306727409363, | |
| "eval_runtime": 0.4441, | |
| "eval_samples_per_second": 105.821, | |
| "eval_steps_per_second": 13.509, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "grad_norm": 15.375, | |
| "learning_rate": 0.001, | |
| "loss": 0.8642, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "eval_loss": 0.4214279353618622, | |
| "eval_runtime": 0.4424, | |
| "eval_samples_per_second": 106.229, | |
| "eval_steps_per_second": 13.561, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 3.78125, | |
| "learning_rate": 0.001, | |
| "loss": 0.4199, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 0.32138827443122864, | |
| "eval_runtime": 0.4418, | |
| "eval_samples_per_second": 106.379, | |
| "eval_steps_per_second": 13.58, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "step": 8, | |
| "total_flos": 1329758335401984.0, | |
| "train_loss": 1.7119178622961044, | |
| "train_runtime": 46.9732, | |
| "train_samples_per_second": 19.628, | |
| "train_steps_per_second": 0.17 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 8, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "save_steps": 1, | |
| "total_flos": 1329758335401984.0, | |
| "train_batch_size": 128, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |