| { |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 3.0, |
| "eval_steps": 500, |
| "global_step": 2826, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.5307855626326964, |
| "grad_norm": 5.489389896392822, |
| "learning_rate": 8.333333333333334e-06, |
| "loss": 2.354, |
| "step": 500 |
| }, |
| { |
| "epoch": 1.0615711252653928, |
| "grad_norm": 5.129901885986328, |
| "learning_rate": 8.203054806828391e-06, |
| "loss": 1.0543, |
| "step": 1000 |
| }, |
| { |
| "epoch": 1.5923566878980893, |
| "grad_norm": 9.780948638916016, |
| "learning_rate": 5.9568733153638815e-06, |
| "loss": 0.8205, |
| "step": 1500 |
| }, |
| { |
| "epoch": 2.1231422505307855, |
| "grad_norm": 8.44005012512207, |
| "learning_rate": 3.710691823899371e-06, |
| "loss": 0.7534, |
| "step": 2000 |
| }, |
| { |
| "epoch": 2.653927813163482, |
| "grad_norm": 4.482905387878418, |
| "learning_rate": 1.464510332434861e-06, |
| "loss": 0.6727, |
| "step": 2500 |
| }, |
| { |
| "epoch": 3.0, |
| "step": 2826, |
| "total_flos": 2.377533515518771e+16, |
| "train_loss": 1.0759811563350086, |
| "train_runtime": 46811.0436, |
| "train_samples_per_second": 1.93, |
| "train_steps_per_second": 0.06 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 2826, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 3, |
| "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": 2.377533515518771e+16, |
| "train_batch_size": 32, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
