| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 48.87983706720978, | |
| "eval_steps": 500, | |
| "global_step": 6000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 4.07, | |
| "grad_norm": 3.8863396644592285, | |
| "learning_rate": 3.936e-05, | |
| "loss": 3.9012, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 4.07, | |
| "eval_loss": 0.4798698425292969, | |
| "eval_runtime": 164.8654, | |
| "eval_samples_per_second": 19.234, | |
| "eval_steps_per_second": 2.408, | |
| "eval_wer": 0.46691878014085975, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 8.15, | |
| "grad_norm": 1.7655788660049438, | |
| "learning_rate": 7.936000000000001e-05, | |
| "loss": 0.7087, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 8.15, | |
| "eval_loss": 0.331632524728775, | |
| "eval_runtime": 165.1487, | |
| "eval_samples_per_second": 19.201, | |
| "eval_steps_per_second": 2.404, | |
| "eval_wer": 0.3308121985914027, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 12.22, | |
| "grad_norm": 2.021256446838379, | |
| "learning_rate": 7.228235294117648e-05, | |
| "loss": 0.3293, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 12.22, | |
| "eval_loss": 0.29065316915512085, | |
| "eval_runtime": 168.1265, | |
| "eval_samples_per_second": 18.861, | |
| "eval_steps_per_second": 2.361, | |
| "eval_wer": 0.290982895604205, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 16.29, | |
| "grad_norm": 1.2028392553329468, | |
| "learning_rate": 6.443921568627452e-05, | |
| "loss": 0.203, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 16.29, | |
| "eval_loss": 0.29165971279144287, | |
| "eval_runtime": 168.0318, | |
| "eval_samples_per_second": 18.871, | |
| "eval_steps_per_second": 2.363, | |
| "eval_wer": 0.2812337369461888, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 20.37, | |
| "grad_norm": 0.8678894639015198, | |
| "learning_rate": 5.6596078431372547e-05, | |
| "loss": 0.1526, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 20.37, | |
| "eval_loss": 0.2595488429069519, | |
| "eval_runtime": 168.4253, | |
| "eval_samples_per_second": 18.827, | |
| "eval_steps_per_second": 2.357, | |
| "eval_wer": 0.26881310064878744, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 24.44, | |
| "grad_norm": 1.7510905265808105, | |
| "learning_rate": 4.875294117647059e-05, | |
| "loss": 0.1189, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 24.44, | |
| "eval_loss": 0.2896680533885956, | |
| "eval_runtime": 167.8147, | |
| "eval_samples_per_second": 18.896, | |
| "eval_steps_per_second": 2.366, | |
| "eval_wer": 0.2652395656246747, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 28.51, | |
| "grad_norm": 1.1846829652786255, | |
| "learning_rate": 4.090980392156863e-05, | |
| "loss": 0.0988, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 28.51, | |
| "eval_loss": 0.30395135283470154, | |
| "eval_runtime": 168.5254, | |
| "eval_samples_per_second": 18.816, | |
| "eval_steps_per_second": 2.356, | |
| "eval_wer": 0.2631925892516393, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 32.59, | |
| "grad_norm": 1.2768597602844238, | |
| "learning_rate": 3.3066666666666666e-05, | |
| "loss": 0.0767, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 32.59, | |
| "eval_loss": 0.2856810986995697, | |
| "eval_runtime": 170.6385, | |
| "eval_samples_per_second": 18.583, | |
| "eval_steps_per_second": 2.327, | |
| "eval_wer": 0.25576796308503624, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 36.66, | |
| "grad_norm": 0.8570753931999207, | |
| "learning_rate": 2.5223529411764707e-05, | |
| "loss": 0.0653, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 36.66, | |
| "eval_loss": 0.30118483304977417, | |
| "eval_runtime": 171.6141, | |
| "eval_samples_per_second": 18.478, | |
| "eval_steps_per_second": 2.313, | |
| "eval_wer": 0.24785761371127224, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 40.73, | |
| "grad_norm": 0.5461006164550781, | |
| "learning_rate": 1.7380392156862745e-05, | |
| "loss": 0.0585, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 40.73, | |
| "eval_loss": 0.28294435143470764, | |
| "eval_runtime": 169.3236, | |
| "eval_samples_per_second": 18.727, | |
| "eval_steps_per_second": 2.345, | |
| "eval_wer": 0.24251465843250183, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 44.81, | |
| "grad_norm": 0.47187602519989014, | |
| "learning_rate": 9.537254901960786e-06, | |
| "loss": 0.0467, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 44.81, | |
| "eval_loss": 0.28480401635169983, | |
| "eval_runtime": 169.9442, | |
| "eval_samples_per_second": 18.659, | |
| "eval_steps_per_second": 2.336, | |
| "eval_wer": 0.23873295631960587, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 48.88, | |
| "grad_norm": 0.4703833758831024, | |
| "learning_rate": 1.6941176470588237e-06, | |
| "loss": 0.0416, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 48.88, | |
| "eval_loss": 0.27989715337753296, | |
| "eval_runtime": 170.4594, | |
| "eval_samples_per_second": 18.603, | |
| "eval_steps_per_second": 2.329, | |
| "eval_wer": 0.23436144745515733, | |
| "step": 6000 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 6100, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 50, | |
| "save_steps": 500, | |
| "total_flos": 9.05423649471038e+19, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |