| { |
| "best_metric": 3.3562777042388916, |
| "best_model_checkpoint": "nrshoudi/hubert-large-ls960-ft/checkpoint-1637", |
| "epoch": 20.0, |
| "eval_steps": 500, |
| "global_step": 32740, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "learning_rate": 4.984728161270617e-05, |
| "loss": 14.5096, |
| "step": 1637 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_loss": 3.3562777042388916, |
| "eval_per": 1.0, |
| "eval_runtime": 97.5003, |
| "eval_samples_per_second": 8.338, |
| "eval_steps_per_second": 4.174, |
| "eval_wer": 1.0, |
| "step": 1637 |
| }, |
| { |
| "epoch": 2.0, |
| "learning_rate": 9.984728161270619e-05, |
| "loss": 3.3754, |
| "step": 3274 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_loss": 3.3135287761688232, |
| "eval_per": 1.0, |
| "eval_runtime": 96.1335, |
| "eval_samples_per_second": 8.457, |
| "eval_steps_per_second": 4.234, |
| "eval_wer": 1.0, |
| "step": 3274 |
| }, |
| { |
| "epoch": 3.0, |
| "learning_rate": 9.446480689608362e-05, |
| "loss": 3.3037, |
| "step": 4911 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_loss": 3.2654213905334473, |
| "eval_per": 1.0, |
| "eval_runtime": 99.0991, |
| "eval_samples_per_second": 8.204, |
| "eval_steps_per_second": 4.107, |
| "eval_wer": 1.0, |
| "step": 4911 |
| }, |
| { |
| "epoch": 4.0, |
| "learning_rate": 8.890925134052806e-05, |
| "loss": 3.2641, |
| "step": 6548 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_loss": 3.2260236740112305, |
| "eval_per": 1.0, |
| "eval_runtime": 96.3924, |
| "eval_samples_per_second": 8.434, |
| "eval_steps_per_second": 4.222, |
| "eval_wer": 1.0, |
| "step": 6548 |
| }, |
| { |
| "epoch": 5.0, |
| "learning_rate": 8.335369578497252e-05, |
| "loss": 3.1723, |
| "step": 8185 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_loss": 3.1157803535461426, |
| "eval_per": 0.9980212946386507, |
| "eval_runtime": 99.3924, |
| "eval_samples_per_second": 8.18, |
| "eval_steps_per_second": 4.095, |
| "eval_wer": 0.9974802855676357, |
| "step": 8185 |
| }, |
| { |
| "epoch": 6.0, |
| "learning_rate": 7.779814022941696e-05, |
| "loss": 3.0864, |
| "step": 9822 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_loss": 3.0251047611236572, |
| "eval_per": 0.9234429473287478, |
| "eval_runtime": 99.1552, |
| "eval_samples_per_second": 8.199, |
| "eval_steps_per_second": 4.105, |
| "eval_wer": 0.910456814894312, |
| "step": 9822 |
| }, |
| { |
| "epoch": 7.0, |
| "learning_rate": 7.22425846738614e-05, |
| "loss": 3.0205, |
| "step": 11459 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_loss": 2.9357450008392334, |
| "eval_per": 0.9068359559031377, |
| "eval_runtime": 101.5102, |
| "eval_samples_per_second": 8.009, |
| "eval_steps_per_second": 4.009, |
| "eval_wer": 0.8956651579487658, |
| "step": 11459 |
| }, |
| { |
| "epoch": 8.0, |
| "learning_rate": 6.669042286024571e-05, |
| "loss": 2.9474, |
| "step": 13096 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_loss": 2.852294683456421, |
| "eval_per": 0.8527748987091303, |
| "eval_runtime": 102.2076, |
| "eval_samples_per_second": 7.954, |
| "eval_steps_per_second": 3.982, |
| "eval_wer": 0.845597498950119, |
| "step": 13096 |
| }, |
| { |
| "epoch": 9.0, |
| "learning_rate": 6.114165478856988e-05, |
| "loss": 2.883, |
| "step": 14733 |
| }, |
| { |
| "epoch": 9.0, |
| "eval_loss": 2.775151252746582, |
| "eval_per": 0.8322811646094412, |
| "eval_runtime": 100.5566, |
| "eval_samples_per_second": 8.085, |
| "eval_steps_per_second": 4.047, |
| "eval_wer": 0.8260463814101069, |
| "step": 14733 |
| }, |
| { |
| "epoch": 10.0, |
| "learning_rate": 5.558609923301432e-05, |
| "loss": 2.8246, |
| "step": 16370 |
| }, |
| { |
| "epoch": 10.0, |
| "eval_loss": 2.7172954082489014, |
| "eval_per": 0.8201733722792801, |
| "eval_runtime": 99.3308, |
| "eval_samples_per_second": 8.185, |
| "eval_steps_per_second": 4.097, |
| "eval_wer": 0.8138211002753021, |
| "step": 16370 |
| }, |
| { |
| "epoch": 11.0, |
| "learning_rate": 5.0030543677458766e-05, |
| "loss": 2.7959, |
| "step": 18007 |
| }, |
| { |
| "epoch": 11.0, |
| "eval_loss": 2.687734603881836, |
| "eval_per": 0.8139074719683407, |
| "eval_runtime": 99.0993, |
| "eval_samples_per_second": 8.204, |
| "eval_steps_per_second": 4.107, |
| "eval_wer": 0.8073818300592599, |
| "step": 18007 |
| }, |
| { |
| "epoch": 12.0, |
| "learning_rate": 4.448177560578294e-05, |
| "loss": 2.7595, |
| "step": 19644 |
| }, |
| { |
| "epoch": 12.0, |
| "eval_loss": 2.645852565765381, |
| "eval_per": 0.8223640817864882, |
| "eval_runtime": 98.3259, |
| "eval_samples_per_second": 8.268, |
| "eval_steps_per_second": 4.139, |
| "eval_wer": 0.8131211795996454, |
| "step": 19644 |
| }, |
| { |
| "epoch": 13.0, |
| "learning_rate": 3.892622005022738e-05, |
| "loss": 2.7335, |
| "step": 21281 |
| }, |
| { |
| "epoch": 13.0, |
| "eval_loss": 2.6207735538482666, |
| "eval_per": 0.8119994346556111, |
| "eval_runtime": 99.8187, |
| "eval_samples_per_second": 8.145, |
| "eval_steps_per_second": 4.077, |
| "eval_wer": 0.8049554383836498, |
| "step": 21281 |
| }, |
| { |
| "epoch": 14.0, |
| "learning_rate": 3.337405823661169e-05, |
| "loss": 2.7014, |
| "step": 22918 |
| }, |
| { |
| "epoch": 14.0, |
| "eval_loss": 2.579977035522461, |
| "eval_per": 0.805356638085367, |
| "eval_runtime": 99.5509, |
| "eval_samples_per_second": 8.167, |
| "eval_steps_per_second": 4.088, |
| "eval_wer": 0.7985628295459848, |
| "step": 22918 |
| }, |
| { |
| "epoch": 15.0, |
| "learning_rate": 2.7818502681056137e-05, |
| "loss": 2.6792, |
| "step": 24555 |
| }, |
| { |
| "epoch": 15.0, |
| "eval_loss": 2.560378074645996, |
| "eval_per": 0.8058042023932912, |
| "eval_runtime": 98.6889, |
| "eval_samples_per_second": 8.238, |
| "eval_steps_per_second": 4.124, |
| "eval_wer": 0.7989361205730017, |
| "step": 24555 |
| }, |
| { |
| "epoch": 16.0, |
| "learning_rate": 2.226634086744044e-05, |
| "loss": 2.6539, |
| "step": 26192 |
| }, |
| { |
| "epoch": 16.0, |
| "eval_loss": 2.528850555419922, |
| "eval_per": 0.7984782813530575, |
| "eval_runtime": 91.0813, |
| "eval_samples_per_second": 8.926, |
| "eval_steps_per_second": 4.469, |
| "eval_wer": 0.7929168027623535, |
| "step": 26192 |
| }, |
| { |
| "epoch": 17.0, |
| "learning_rate": 1.6714179053824745e-05, |
| "loss": 2.6316, |
| "step": 27829 |
| }, |
| { |
| "epoch": 17.0, |
| "eval_loss": 2.5119011402130127, |
| "eval_per": 0.8017525676057665, |
| "eval_runtime": 90.1443, |
| "eval_samples_per_second": 9.019, |
| "eval_steps_per_second": 4.515, |
| "eval_wer": 0.79426998273529, |
| "step": 27829 |
| }, |
| { |
| "epoch": 18.0, |
| "learning_rate": 1.1158623498269193e-05, |
| "loss": 2.6212, |
| "step": 29466 |
| }, |
| { |
| "epoch": 18.0, |
| "eval_loss": 2.496473789215088, |
| "eval_per": 0.8005276547630265, |
| "eval_runtime": 91.8076, |
| "eval_samples_per_second": 8.855, |
| "eval_steps_per_second": 4.433, |
| "eval_wer": 0.7931034482758621, |
| "step": 29466 |
| }, |
| { |
| "epoch": 19.0, |
| "learning_rate": 5.603067942713636e-06, |
| "loss": 2.6114, |
| "step": 31103 |
| }, |
| { |
| "epoch": 19.0, |
| "eval_loss": 2.4890170097351074, |
| "eval_per": 0.7959342316027513, |
| "eval_runtime": 92.8676, |
| "eval_samples_per_second": 8.754, |
| "eval_steps_per_second": 4.383, |
| "eval_wer": 0.7893705380056927, |
| "step": 31103 |
| }, |
| { |
| "epoch": 20.0, |
| "learning_rate": 5.090612909794339e-08, |
| "loss": 2.6028, |
| "step": 32740 |
| }, |
| { |
| "epoch": 20.0, |
| "eval_loss": 2.484998941421509, |
| "eval_per": 0.7944737585979459, |
| "eval_runtime": 94.0732, |
| "eval_samples_per_second": 8.642, |
| "eval_steps_per_second": 4.326, |
| "eval_wer": 0.7884373104381504, |
| "step": 32740 |
| }, |
| { |
| "epoch": 20.0, |
| "step": 32740, |
| "total_flos": 1.0578414234417158e+19, |
| "train_loss": 3.458883378035278, |
| "train_runtime": 12432.4169, |
| "train_samples_per_second": 5.265, |
| "train_steps_per_second": 2.633 |
| } |
| ], |
| "logging_steps": 25, |
| "max_steps": 32740, |
| "num_train_epochs": 20, |
| "save_steps": 500, |
| "total_flos": 1.0578414234417158e+19, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
