| { |
| "best_metric": 0.8979436755180359, |
| "best_model_checkpoint": "./opt_trained3/checkpoint-2720", |
| "epoch": 1.99898924928788, |
| "eval_steps": 500, |
| "global_step": 2720, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.3675457134981163, |
| "grad_norm": 1.3510414361953735, |
| "learning_rate": 9.189154158168292e-05, |
| "loss": 0.9069, |
| "step": 500 |
| }, |
| { |
| "epoch": 0.7350914269962326, |
| "grad_norm": 1.1864418983459473, |
| "learning_rate": 7.019605024359474e-05, |
| "loss": 0.9081, |
| "step": 1000 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_loss": 0.9017300605773926, |
| "eval_runtime": 764.7068, |
| "eval_samples_per_second": 50.601, |
| "eval_steps_per_second": 12.651, |
| "step": 1361 |
| }, |
| { |
| "epoch": 1.1021777083524764, |
| "grad_norm": 1.2064156532287598, |
| "learning_rate": 4.195020556092935e-05, |
| "loss": 0.8997, |
| "step": 1500 |
| }, |
| { |
| "epoch": 1.4697234218505928, |
| "grad_norm": 1.2276240587234497, |
| "learning_rate": 1.631521781767214e-05, |
| "loss": 0.8969, |
| "step": 2000 |
| }, |
| { |
| "epoch": 1.837269135348709, |
| "grad_norm": 1.193297266960144, |
| "learning_rate": 1.6054963006338742e-06, |
| "loss": 0.8947, |
| "step": 2500 |
| }, |
| { |
| "epoch": 1.99898924928788, |
| "eval_loss": 0.8979436755180359, |
| "eval_runtime": 761.1017, |
| "eval_samples_per_second": 50.841, |
| "eval_steps_per_second": 12.711, |
| "step": 2720 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 2720, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 2, |
| "save_steps": 500, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": true |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 1.37491227277056e+17, |
| "train_batch_size": 32, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
