| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 3.0, | |
| "eval_steps": 500, | |
| "global_step": 846, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.17777777777777778, | |
| "grad_norm": 0.5015225410461426, | |
| "learning_rate": 4.9000000000000005e-06, | |
| "loss": 1.9794, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.35555555555555557, | |
| "grad_norm": 0.3204170763492584, | |
| "learning_rate": 9.900000000000002e-06, | |
| "loss": 1.7003, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.5333333333333333, | |
| "grad_norm": 0.13799017667770386, | |
| "learning_rate": 1.49e-05, | |
| "loss": 1.3558, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.7111111111111111, | |
| "grad_norm": 0.11320392787456512, | |
| "learning_rate": 1.9900000000000003e-05, | |
| "loss": 1.1495, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.8888888888888888, | |
| "grad_norm": 0.09474427998065948, | |
| "learning_rate": 2.4900000000000002e-05, | |
| "loss": 0.9722, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 1.064, | |
| "grad_norm": 0.14002135396003723, | |
| "learning_rate": 2.9900000000000002e-05, | |
| "loss": 0.8676, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 1.2417777777777779, | |
| "grad_norm": 0.16521736979484558, | |
| "learning_rate": 3.49e-05, | |
| "loss": 0.8131, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 1.4195555555555557, | |
| "grad_norm": 0.26585647463798523, | |
| "learning_rate": 3.99e-05, | |
| "loss": 0.7925, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 1.5973333333333333, | |
| "grad_norm": 0.43122053146362305, | |
| "learning_rate": 4.49e-05, | |
| "loss": 0.7773, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 1.775111111111111, | |
| "grad_norm": 0.4061725437641144, | |
| "learning_rate": 4.99e-05, | |
| "loss": 0.7665, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.775111111111111, | |
| "eval_loss": 0.7617867588996887, | |
| "eval_runtime": 91.9001, | |
| "eval_samples_per_second": 10.881, | |
| "eval_steps_per_second": 2.72, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.952888888888889, | |
| "grad_norm": 0.2137136161327362, | |
| "learning_rate": 4.291907514450868e-05, | |
| "loss": 0.7596, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 2.128, | |
| "grad_norm": 0.2972916066646576, | |
| "learning_rate": 3.569364161849711e-05, | |
| "loss": 0.7555, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 2.3057777777777777, | |
| "grad_norm": 0.2066715657711029, | |
| "learning_rate": 2.846820809248555e-05, | |
| "loss": 0.7522, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 2.4835555555555557, | |
| "grad_norm": 0.2598058581352234, | |
| "learning_rate": 2.124277456647399e-05, | |
| "loss": 0.7505, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 2.6613333333333333, | |
| "grad_norm": 0.1933412402868271, | |
| "learning_rate": 1.4017341040462428e-05, | |
| "loss": 0.7499, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 2.8391111111111114, | |
| "grad_norm": 0.14771156013011932, | |
| "learning_rate": 6.791907514450866e-06, | |
| "loss": 0.7496, | |
| "step": 800 | |
| } | |
| ], | |
| "logging_steps": 50, | |
| "max_steps": 846, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 1000, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 2.358808545907966e+18, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |