| { | |
| "best_metric": 0.0444386750459671, | |
| "best_model_checkpoint": "572project/checkpoint-939", | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 4695, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.53, | |
| "grad_norm": 0.0010740529978647828, | |
| "learning_rate": 1.7870074547390843e-05, | |
| "loss": 0.029, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_f1": 0.983853606027987, | |
| "eval_loss": 0.0444386750459671, | |
| "eval_runtime": 5.0208, | |
| "eval_samples_per_second": 187.023, | |
| "eval_steps_per_second": 23.502, | |
| "step": 939 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "grad_norm": 0.029427560046315193, | |
| "learning_rate": 1.5740149094781685e-05, | |
| "loss": 0.0461, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 78.75341796875, | |
| "learning_rate": 1.3610223642172523e-05, | |
| "loss": 0.0114, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_f1": 0.9924324324324325, | |
| "eval_loss": 0.054377324879169464, | |
| "eval_runtime": 5.0274, | |
| "eval_samples_per_second": 186.775, | |
| "eval_steps_per_second": 23.471, | |
| "step": 1878 | |
| }, | |
| { | |
| "epoch": 2.13, | |
| "grad_norm": 0.0012783489655703306, | |
| "learning_rate": 1.1480298189563365e-05, | |
| "loss": 0.0062, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "grad_norm": 0.00034116956521756947, | |
| "learning_rate": 9.350372736954207e-06, | |
| "loss": 0.0013, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_f1": 0.9934924078091107, | |
| "eval_loss": 0.047857534140348434, | |
| "eval_runtime": 5.0032, | |
| "eval_samples_per_second": 187.679, | |
| "eval_steps_per_second": 23.585, | |
| "step": 2817 | |
| }, | |
| { | |
| "epoch": 3.19, | |
| "grad_norm": 0.00018943840404972434, | |
| "learning_rate": 7.220447284345049e-06, | |
| "loss": 0.0015, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "grad_norm": 0.00020874786423519254, | |
| "learning_rate": 5.090521831735889e-06, | |
| "loss": 0.002, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_f1": 0.992399565689468, | |
| "eval_loss": 0.054781731218099594, | |
| "eval_runtime": 5.0055, | |
| "eval_samples_per_second": 187.594, | |
| "eval_steps_per_second": 23.574, | |
| "step": 3756 | |
| }, | |
| { | |
| "epoch": 4.26, | |
| "grad_norm": 0.00014990718045737594, | |
| "learning_rate": 2.9605963791267307e-06, | |
| "loss": 0.002, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 4.79, | |
| "grad_norm": 0.00011578563135117292, | |
| "learning_rate": 8.306709265175719e-07, | |
| "loss": 0.0, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_f1": 0.9913419913419914, | |
| "eval_loss": 0.06532972306013107, | |
| "eval_runtime": 5.0316, | |
| "eval_samples_per_second": 186.621, | |
| "eval_steps_per_second": 23.452, | |
| "step": 4695 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 4695, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "save_steps": 500, | |
| "total_flos": 1871333823963648.0, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |