| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.6625103906899419, | |
| "eval_steps": 500, | |
| "global_step": 8000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.10390689941812137, | |
| "grad_norm": 3.488266944885254, | |
| "learning_rate": 1.9311443613189252e-05, | |
| "loss": 0.8436, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.20781379883624274, | |
| "grad_norm": 0.8393851518630981, | |
| "learning_rate": 1.8618730950401776e-05, | |
| "loss": 0.5316, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.3117206982543641, | |
| "grad_norm": 1.4351526498794556, | |
| "learning_rate": 1.79260182876143e-05, | |
| "loss": 0.483, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.41562759767248547, | |
| "grad_norm": 1.4630037546157837, | |
| "learning_rate": 1.7233305624826823e-05, | |
| "loss": 0.4516, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.5195344970906068, | |
| "grad_norm": 0.854028046131134, | |
| "learning_rate": 1.6540592962039347e-05, | |
| "loss": 0.4387, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.6234413965087282, | |
| "grad_norm": 0.8339985013008118, | |
| "learning_rate": 1.584788029925187e-05, | |
| "loss": 0.4192, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.7273482959268496, | |
| "grad_norm": 1.0237222909927368, | |
| "learning_rate": 1.5155167636464397e-05, | |
| "loss": 0.422, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.8312551953449709, | |
| "grad_norm": 1.0825960636138916, | |
| "learning_rate": 1.446245497367692e-05, | |
| "loss": 0.4065, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.9351620947630923, | |
| "grad_norm": 1.4909119606018066, | |
| "learning_rate": 1.3769742310889445e-05, | |
| "loss": 0.4031, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 0.3220335841178894, | |
| "eval_runtime": 31.3207, | |
| "eval_samples_per_second": 15.772, | |
| "eval_steps_per_second": 7.886, | |
| "step": 4812 | |
| }, | |
| { | |
| "epoch": 1.0390689941812137, | |
| "grad_norm": 0.6415828466415405, | |
| "learning_rate": 1.3077029648101969e-05, | |
| "loss": 0.4064, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 1.142975893599335, | |
| "grad_norm": 0.6136273741722107, | |
| "learning_rate": 1.2384316985314493e-05, | |
| "loss": 0.3599, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 1.2468827930174564, | |
| "grad_norm": 0.49429360032081604, | |
| "learning_rate": 1.1692989747852592e-05, | |
| "loss": 0.3737, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 1.3507896924355778, | |
| "grad_norm": 1.103445053100586, | |
| "learning_rate": 1.1000277085065116e-05, | |
| "loss": 0.3626, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 1.4546965918536992, | |
| "grad_norm": 0.35276883840560913, | |
| "learning_rate": 1.030756442227764e-05, | |
| "loss": 0.352, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 1.5586034912718203, | |
| "grad_norm": 2.3900763988494873, | |
| "learning_rate": 9.614851759490165e-06, | |
| "loss": 0.3564, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 1.6625103906899419, | |
| "grad_norm": 0.7738548517227173, | |
| "learning_rate": 8.92213909670269e-06, | |
| "loss": 0.3639, | |
| "step": 8000 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 14436, | |
| "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": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 9742717291069440.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |