| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 500.0, | |
| "global_step": 12000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 4.17, | |
| "learning_rate": 7.35e-06, | |
| "loss": 18.5133, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 4.17, | |
| "eval_loss": 12.037576675415039, | |
| "eval_runtime": 6.8573, | |
| "eval_samples_per_second": 20.708, | |
| "eval_steps_per_second": 2.625, | |
| "eval_wer": 1.0, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 8.33, | |
| "learning_rate": 1.485e-05, | |
| "loss": 7.9152, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 8.33, | |
| "eval_loss": 6.240577220916748, | |
| "eval_runtime": 6.2762, | |
| "eval_samples_per_second": 22.625, | |
| "eval_steps_per_second": 2.868, | |
| "eval_wer": 1.0, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "learning_rate": 2.2349999999999998e-05, | |
| "loss": 5.363, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "eval_loss": 4.664888858795166, | |
| "eval_runtime": 7.3621, | |
| "eval_samples_per_second": 19.288, | |
| "eval_steps_per_second": 2.445, | |
| "eval_wer": 1.0, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 16.67, | |
| "learning_rate": 2.985e-05, | |
| "loss": 4.05, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 16.67, | |
| "eval_loss": 3.5798044204711914, | |
| "eval_runtime": 6.7794, | |
| "eval_samples_per_second": 20.946, | |
| "eval_steps_per_second": 2.655, | |
| "eval_wer": 1.0, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 20.83, | |
| "learning_rate": 3.735e-05, | |
| "loss": 3.3467, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 20.83, | |
| "eval_loss": 3.1930062770843506, | |
| "eval_runtime": 7.0411, | |
| "eval_samples_per_second": 20.167, | |
| "eval_steps_per_second": 2.556, | |
| "eval_wer": 1.0, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "learning_rate": 4.484999999999999e-05, | |
| "loss": 3.1638, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_loss": 3.098419666290283, | |
| "eval_runtime": 6.9505, | |
| "eval_samples_per_second": 20.43, | |
| "eval_steps_per_second": 2.59, | |
| "eval_wer": 1.0, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 29.17, | |
| "learning_rate": 5.234999999999999e-05, | |
| "loss": 3.043, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 29.17, | |
| "eval_loss": 2.970651865005493, | |
| "eval_runtime": 6.7343, | |
| "eval_samples_per_second": 21.086, | |
| "eval_steps_per_second": 2.673, | |
| "eval_wer": 0.998256320836966, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 33.33, | |
| "learning_rate": 5.985e-05, | |
| "loss": 2.9566, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 33.33, | |
| "eval_loss": 2.9295754432678223, | |
| "eval_runtime": 6.7892, | |
| "eval_samples_per_second": 20.916, | |
| "eval_steps_per_second": 2.651, | |
| "eval_wer": 1.0, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 37.5, | |
| "learning_rate": 6.735e-05, | |
| "loss": 2.8994, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 37.5, | |
| "eval_loss": 2.8289785385131836, | |
| "eval_runtime": 6.3572, | |
| "eval_samples_per_second": 22.337, | |
| "eval_steps_per_second": 2.831, | |
| "eval_wer": 0.998256320836966, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 41.67, | |
| "learning_rate": 7.484999999999999e-05, | |
| "loss": 2.6469, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 41.67, | |
| "eval_loss": 2.244255781173706, | |
| "eval_runtime": 7.0587, | |
| "eval_samples_per_second": 20.117, | |
| "eval_steps_per_second": 2.55, | |
| "eval_wer": 0.976460331299041, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 45.83, | |
| "learning_rate": 7.433181818181818e-05, | |
| "loss": 2.1557, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 45.83, | |
| "eval_loss": 1.5079460144042969, | |
| "eval_runtime": 6.593, | |
| "eval_samples_per_second": 21.538, | |
| "eval_steps_per_second": 2.73, | |
| "eval_wer": 0.8204010462074979, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "learning_rate": 7.364999999999999e-05, | |
| "loss": 1.7524, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_loss": 1.2472423315048218, | |
| "eval_runtime": 6.884, | |
| "eval_samples_per_second": 20.628, | |
| "eval_steps_per_second": 2.615, | |
| "eval_wer": 0.7593722755013078, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 54.17, | |
| "learning_rate": 7.296818181818182e-05, | |
| "loss": 1.54, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 54.17, | |
| "eval_loss": 1.1611692905426025, | |
| "eval_runtime": 6.7498, | |
| "eval_samples_per_second": 21.038, | |
| "eval_steps_per_second": 2.667, | |
| "eval_wer": 0.7096774193548387, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 58.33, | |
| "learning_rate": 7.228636363636363e-05, | |
| "loss": 1.3985, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 58.33, | |
| "eval_loss": 1.1158100366592407, | |
| "eval_runtime": 6.9751, | |
| "eval_samples_per_second": 20.358, | |
| "eval_steps_per_second": 2.581, | |
| "eval_wer": 0.7358326068003488, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 62.5, | |
| "learning_rate": 7.160454545454545e-05, | |
| "loss": 1.2869, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 62.5, | |
| "eval_loss": 1.0453699827194214, | |
| "eval_runtime": 6.542, | |
| "eval_samples_per_second": 21.706, | |
| "eval_steps_per_second": 2.751, | |
| "eval_wer": 0.6931124673060157, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 66.67, | |
| "learning_rate": 7.092272727272727e-05, | |
| "loss": 1.1952, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 66.67, | |
| "eval_loss": 1.0130492448806763, | |
| "eval_runtime": 7.0228, | |
| "eval_samples_per_second": 20.22, | |
| "eval_steps_per_second": 2.563, | |
| "eval_wer": 0.6852659110723627, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 70.83, | |
| "learning_rate": 7.024090909090908e-05, | |
| "loss": 1.1022, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 70.83, | |
| "eval_loss": 1.017554521560669, | |
| "eval_runtime": 6.8272, | |
| "eval_samples_per_second": 20.799, | |
| "eval_steps_per_second": 2.637, | |
| "eval_wer": 0.6965998256320837, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 75.0, | |
| "learning_rate": 6.95590909090909e-05, | |
| "loss": 1.0346, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 75.0, | |
| "eval_loss": 1.0053126811981201, | |
| "eval_runtime": 6.9741, | |
| "eval_samples_per_second": 20.361, | |
| "eval_steps_per_second": 2.581, | |
| "eval_wer": 0.6817785527462947, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 79.17, | |
| "learning_rate": 6.887727272727272e-05, | |
| "loss": 0.9707, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 79.17, | |
| "eval_loss": 1.022377610206604, | |
| "eval_runtime": 7.0064, | |
| "eval_samples_per_second": 20.267, | |
| "eval_steps_per_second": 2.569, | |
| "eval_wer": 0.6713164777680907, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 83.33, | |
| "learning_rate": 6.819545454545453e-05, | |
| "loss": 0.917, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 83.33, | |
| "eval_loss": 1.0382641553878784, | |
| "eval_runtime": 6.7309, | |
| "eval_samples_per_second": 21.097, | |
| "eval_steps_per_second": 2.674, | |
| "eval_wer": 0.6530078465562337, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 87.5, | |
| "learning_rate": 6.751363636363636e-05, | |
| "loss": 0.8574, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 87.5, | |
| "eval_loss": 1.0632084608078003, | |
| "eval_runtime": 7.3312, | |
| "eval_samples_per_second": 19.369, | |
| "eval_steps_per_second": 2.455, | |
| "eval_wer": 0.6756756756756757, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 91.67, | |
| "learning_rate": 6.683181818181818e-05, | |
| "loss": 0.8021, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 91.67, | |
| "eval_loss": 1.012629747390747, | |
| "eval_runtime": 6.9334, | |
| "eval_samples_per_second": 20.481, | |
| "eval_steps_per_second": 2.596, | |
| "eval_wer": 0.6442894507410637, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 95.83, | |
| "learning_rate": 6.615e-05, | |
| "loss": 0.7563, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 95.83, | |
| "eval_loss": 1.0677976608276367, | |
| "eval_runtime": 7.0411, | |
| "eval_samples_per_second": 20.167, | |
| "eval_steps_per_second": 2.556, | |
| "eval_wer": 0.6713164777680907, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "learning_rate": 6.546818181818181e-05, | |
| "loss": 0.709, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "eval_loss": 1.0755900144577026, | |
| "eval_runtime": 6.7348, | |
| "eval_samples_per_second": 21.085, | |
| "eval_steps_per_second": 2.673, | |
| "eval_wer": 0.6756756756756757, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 104.17, | |
| "learning_rate": 6.478636363636363e-05, | |
| "loss": 0.6775, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 104.17, | |
| "eval_loss": 1.03966224193573, | |
| "eval_runtime": 6.7793, | |
| "eval_samples_per_second": 20.946, | |
| "eval_steps_per_second": 2.655, | |
| "eval_wer": 0.6913687881429816, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 108.33, | |
| "learning_rate": 6.410454545454546e-05, | |
| "loss": 0.6325, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 108.33, | |
| "eval_loss": 1.055609107017517, | |
| "eval_runtime": 6.9878, | |
| "eval_samples_per_second": 20.321, | |
| "eval_steps_per_second": 2.576, | |
| "eval_wer": 0.6512641673931997, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 112.5, | |
| "learning_rate": 6.342272727272726e-05, | |
| "loss": 0.617, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 112.5, | |
| "eval_loss": 1.1218976974487305, | |
| "eval_runtime": 6.8023, | |
| "eval_samples_per_second": 20.875, | |
| "eval_steps_per_second": 2.646, | |
| "eval_wer": 0.6922406277244987, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 116.67, | |
| "learning_rate": 6.274090909090909e-05, | |
| "loss": 0.5801, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 116.67, | |
| "eval_loss": 1.112548589706421, | |
| "eval_runtime": 6.7506, | |
| "eval_samples_per_second": 21.035, | |
| "eval_steps_per_second": 2.666, | |
| "eval_wer": 0.6870095902353966, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 120.83, | |
| "learning_rate": 6.205909090909091e-05, | |
| "loss": 0.5367, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 120.83, | |
| "eval_loss": 1.1397372484207153, | |
| "eval_runtime": 6.876, | |
| "eval_samples_per_second": 20.652, | |
| "eval_steps_per_second": 2.618, | |
| "eval_wer": 0.6564952048823016, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 125.0, | |
| "learning_rate": 6.137727272727272e-05, | |
| "loss": 0.5132, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 125.0, | |
| "eval_loss": 1.1678012609481812, | |
| "eval_runtime": 6.8221, | |
| "eval_samples_per_second": 20.815, | |
| "eval_steps_per_second": 2.638, | |
| "eval_wer": 0.7000871839581517, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 129.17, | |
| "learning_rate": 6.069545454545454e-05, | |
| "loss": 0.4948, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 129.17, | |
| "eval_loss": 1.1275851726531982, | |
| "eval_runtime": 6.9051, | |
| "eval_samples_per_second": 20.564, | |
| "eval_steps_per_second": 2.607, | |
| "eval_wer": 0.6643417611159547, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 133.33, | |
| "learning_rate": 6.001363636363636e-05, | |
| "loss": 0.457, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 133.33, | |
| "eval_loss": 1.1464685201644897, | |
| "eval_runtime": 6.6513, | |
| "eval_samples_per_second": 21.349, | |
| "eval_steps_per_second": 2.706, | |
| "eval_wer": 0.6791630340017437, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 137.5, | |
| "learning_rate": 5.933181818181817e-05, | |
| "loss": 0.4538, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 137.5, | |
| "eval_loss": 1.143470287322998, | |
| "eval_runtime": 5.4611, | |
| "eval_samples_per_second": 26.002, | |
| "eval_steps_per_second": 3.296, | |
| "eval_wer": 0.6809067131647777, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 141.67, | |
| "learning_rate": 5.8649999999999996e-05, | |
| "loss": 0.4227, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 141.67, | |
| "eval_loss": 1.1456971168518066, | |
| "eval_runtime": 6.7115, | |
| "eval_samples_per_second": 21.158, | |
| "eval_steps_per_second": 2.682, | |
| "eval_wer": 0.6599825632083697, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 145.83, | |
| "learning_rate": 5.796818181818181e-05, | |
| "loss": 0.4083, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 145.83, | |
| "eval_loss": 1.179282307624817, | |
| "eval_runtime": 7.0949, | |
| "eval_samples_per_second": 20.014, | |
| "eval_steps_per_second": 2.537, | |
| "eval_wer": 0.6652136006974717, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 150.0, | |
| "learning_rate": 5.7286363636363635e-05, | |
| "loss": 0.3965, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 150.0, | |
| "eval_loss": 1.2435046434402466, | |
| "eval_runtime": 7.0689, | |
| "eval_samples_per_second": 20.088, | |
| "eval_steps_per_second": 2.546, | |
| "eval_wer": 0.6878814298169137, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 154.17, | |
| "learning_rate": 5.6604545454545445e-05, | |
| "loss": 0.382, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 154.17, | |
| "eval_loss": 1.2228599786758423, | |
| "eval_runtime": 7.0115, | |
| "eval_samples_per_second": 20.252, | |
| "eval_steps_per_second": 2.567, | |
| "eval_wer": 0.6826503923278117, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 158.33, | |
| "learning_rate": 5.592272727272727e-05, | |
| "loss": 0.3452, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 158.33, | |
| "eval_loss": 1.229727029800415, | |
| "eval_runtime": 6.7478, | |
| "eval_samples_per_second": 21.044, | |
| "eval_steps_per_second": 2.668, | |
| "eval_wer": 0.6878814298169137, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 162.5, | |
| "learning_rate": 5.5240909090909085e-05, | |
| "loss": 0.3434, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 162.5, | |
| "eval_loss": 1.2349668741226196, | |
| "eval_runtime": 7.0134, | |
| "eval_samples_per_second": 20.247, | |
| "eval_steps_per_second": 2.567, | |
| "eval_wer": 0.6887532693984307, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 166.67, | |
| "learning_rate": 5.455909090909091e-05, | |
| "loss": 0.3276, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 166.67, | |
| "eval_loss": 1.2186285257339478, | |
| "eval_runtime": 6.7562, | |
| "eval_samples_per_second": 21.018, | |
| "eval_steps_per_second": 2.664, | |
| "eval_wer": 0.6922406277244987, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 170.83, | |
| "learning_rate": 5.387727272727272e-05, | |
| "loss": 0.3052, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 170.83, | |
| "eval_loss": 1.233783483505249, | |
| "eval_runtime": 6.5925, | |
| "eval_samples_per_second": 21.54, | |
| "eval_steps_per_second": 2.73, | |
| "eval_wer": 0.6870095902353966, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 175.0, | |
| "learning_rate": 5.319545454545454e-05, | |
| "loss": 0.3025, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 175.0, | |
| "eval_loss": 1.272440791130066, | |
| "eval_runtime": 6.8253, | |
| "eval_samples_per_second": 20.805, | |
| "eval_steps_per_second": 2.637, | |
| "eval_wer": 0.7079337401918047, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 179.17, | |
| "learning_rate": 5.251363636363636e-05, | |
| "loss": 0.2916, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 179.17, | |
| "eval_loss": 1.2757943868637085, | |
| "eval_runtime": 6.6107, | |
| "eval_samples_per_second": 21.48, | |
| "eval_steps_per_second": 2.723, | |
| "eval_wer": 0.6974716652136007, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 183.33, | |
| "learning_rate": 5.183181818181818e-05, | |
| "loss": 0.2709, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 183.33, | |
| "eval_loss": 1.2726093530654907, | |
| "eval_runtime": 6.7657, | |
| "eval_samples_per_second": 20.988, | |
| "eval_steps_per_second": 2.66, | |
| "eval_wer": 0.6748038360941587, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 187.5, | |
| "learning_rate": 5.1149999999999996e-05, | |
| "loss": 0.2707, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 187.5, | |
| "eval_loss": 1.264315128326416, | |
| "eval_runtime": 6.6322, | |
| "eval_samples_per_second": 21.411, | |
| "eval_steps_per_second": 2.714, | |
| "eval_wer": 0.6957279860505667, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 191.67, | |
| "learning_rate": 5.046818181818181e-05, | |
| "loss": 0.262, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 191.67, | |
| "eval_loss": 1.321448564529419, | |
| "eval_runtime": 6.7016, | |
| "eval_samples_per_second": 21.189, | |
| "eval_steps_per_second": 2.686, | |
| "eval_wer": 0.7131647776809067, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 195.83, | |
| "learning_rate": 4.9786363636363636e-05, | |
| "loss": 0.2453, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 195.83, | |
| "eval_loss": 1.2952940464019775, | |
| "eval_runtime": 6.8362, | |
| "eval_samples_per_second": 20.772, | |
| "eval_steps_per_second": 2.633, | |
| "eval_wer": 0.6861377506538797, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 200.0, | |
| "learning_rate": 4.910454545454545e-05, | |
| "loss": 0.248, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 200.0, | |
| "eval_loss": 1.362170696258545, | |
| "eval_runtime": 6.5267, | |
| "eval_samples_per_second": 21.757, | |
| "eval_steps_per_second": 2.758, | |
| "eval_wer": 0.6774193548387096, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 204.17, | |
| "learning_rate": 4.842272727272727e-05, | |
| "loss": 0.2325, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 204.17, | |
| "eval_loss": 1.3594108819961548, | |
| "eval_runtime": 6.7956, | |
| "eval_samples_per_second": 20.896, | |
| "eval_steps_per_second": 2.649, | |
| "eval_wer": 0.6835222319093287, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 208.33, | |
| "learning_rate": 4.7740909090909085e-05, | |
| "loss": 0.2124, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 208.33, | |
| "eval_loss": 1.3367135524749756, | |
| "eval_runtime": 6.8257, | |
| "eval_samples_per_second": 20.804, | |
| "eval_steps_per_second": 2.637, | |
| "eval_wer": 0.6652136006974717, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 212.5, | |
| "learning_rate": 4.706590909090908e-05, | |
| "loss": 0.2253, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 212.5, | |
| "eval_loss": 1.415678858757019, | |
| "eval_runtime": 6.8381, | |
| "eval_samples_per_second": 20.766, | |
| "eval_steps_per_second": 2.632, | |
| "eval_wer": 0.6878814298169137, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 216.67, | |
| "learning_rate": 4.6384090909090906e-05, | |
| "loss": 0.2059, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 216.67, | |
| "eval_loss": 1.4359543323516846, | |
| "eval_runtime": 6.8901, | |
| "eval_samples_per_second": 20.609, | |
| "eval_steps_per_second": 2.612, | |
| "eval_wer": 0.7131647776809067, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 220.83, | |
| "learning_rate": 4.570227272727272e-05, | |
| "loss": 0.1951, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 220.83, | |
| "eval_loss": 1.4606153964996338, | |
| "eval_runtime": 6.7349, | |
| "eval_samples_per_second": 21.084, | |
| "eval_steps_per_second": 2.673, | |
| "eval_wer": 0.7157802964254577, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 225.0, | |
| "learning_rate": 4.5020454545454545e-05, | |
| "loss": 0.1861, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 225.0, | |
| "eval_loss": 1.469545841217041, | |
| "eval_runtime": 6.7814, | |
| "eval_samples_per_second": 20.94, | |
| "eval_steps_per_second": 2.654, | |
| "eval_wer": 0.7018308631211857, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 229.17, | |
| "learning_rate": 4.4338636363636355e-05, | |
| "loss": 0.1916, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 229.17, | |
| "eval_loss": 1.4031471014022827, | |
| "eval_runtime": 6.9155, | |
| "eval_samples_per_second": 20.534, | |
| "eval_steps_per_second": 2.603, | |
| "eval_wer": 0.6739319965126417, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 233.33, | |
| "learning_rate": 4.365681818181818e-05, | |
| "loss": 0.1822, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 233.33, | |
| "eval_loss": 1.4425878524780273, | |
| "eval_runtime": 6.658, | |
| "eval_samples_per_second": 21.328, | |
| "eval_steps_per_second": 2.704, | |
| "eval_wer": 0.6870095902353966, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 237.5, | |
| "learning_rate": 4.2974999999999994e-05, | |
| "loss": 0.1684, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 237.5, | |
| "eval_loss": 1.4068546295166016, | |
| "eval_runtime": 5.8333, | |
| "eval_samples_per_second": 24.343, | |
| "eval_steps_per_second": 3.086, | |
| "eval_wer": 0.7053182214472538, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 241.67, | |
| "learning_rate": 4.229318181818182e-05, | |
| "loss": 0.1719, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 241.67, | |
| "eval_loss": 1.4765515327453613, | |
| "eval_runtime": 6.853, | |
| "eval_samples_per_second": 20.721, | |
| "eval_steps_per_second": 2.627, | |
| "eval_wer": 0.6965998256320837, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 245.83, | |
| "learning_rate": 4.161136363636363e-05, | |
| "loss": 0.1569, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 245.83, | |
| "eval_loss": 1.4509494304656982, | |
| "eval_runtime": 7.6508, | |
| "eval_samples_per_second": 18.56, | |
| "eval_steps_per_second": 2.353, | |
| "eval_wer": 0.6931124673060157, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 250.0, | |
| "learning_rate": 4.092954545454545e-05, | |
| "loss": 0.159, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 250.0, | |
| "eval_loss": 1.4466707706451416, | |
| "eval_runtime": 6.8247, | |
| "eval_samples_per_second": 20.807, | |
| "eval_steps_per_second": 2.637, | |
| "eval_wer": 0.7096774193548387, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 254.17, | |
| "learning_rate": 4.0247727272727273e-05, | |
| "loss": 0.1476, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 254.17, | |
| "eval_loss": 1.4616789817810059, | |
| "eval_runtime": 6.6822, | |
| "eval_samples_per_second": 21.25, | |
| "eval_steps_per_second": 2.694, | |
| "eval_wer": 0.6870095902353966, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 258.33, | |
| "learning_rate": 3.956590909090909e-05, | |
| "loss": 0.1497, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 258.33, | |
| "eval_loss": 1.4459782838821411, | |
| "eval_runtime": 7.0114, | |
| "eval_samples_per_second": 20.253, | |
| "eval_steps_per_second": 2.567, | |
| "eval_wer": 0.6843940714908456, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 262.5, | |
| "learning_rate": 3.8884090909090906e-05, | |
| "loss": 0.1446, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 262.5, | |
| "eval_loss": 1.5556844472885132, | |
| "eval_runtime": 6.9912, | |
| "eval_samples_per_second": 20.311, | |
| "eval_steps_per_second": 2.575, | |
| "eval_wer": 0.7088055797733217, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 266.67, | |
| "learning_rate": 3.820227272727272e-05, | |
| "loss": 0.1389, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 266.67, | |
| "eval_loss": 1.4885756969451904, | |
| "eval_runtime": 6.5474, | |
| "eval_samples_per_second": 21.688, | |
| "eval_steps_per_second": 2.749, | |
| "eval_wer": 0.7140366172624237, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 270.83, | |
| "learning_rate": 3.7520454545454546e-05, | |
| "loss": 0.1331, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 270.83, | |
| "eval_loss": 1.5526471138000488, | |
| "eval_runtime": 6.5806, | |
| "eval_samples_per_second": 21.579, | |
| "eval_steps_per_second": 2.735, | |
| "eval_wer": 0.7061900610287707, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 275.0, | |
| "learning_rate": 3.683863636363636e-05, | |
| "loss": 0.1344, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 275.0, | |
| "eval_loss": 1.5419210195541382, | |
| "eval_runtime": 6.8756, | |
| "eval_samples_per_second": 20.653, | |
| "eval_steps_per_second": 2.618, | |
| "eval_wer": 0.7027027027027027, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 279.17, | |
| "learning_rate": 3.615681818181818e-05, | |
| "loss": 0.1198, | |
| "step": 6700 | |
| }, | |
| { | |
| "epoch": 279.17, | |
| "eval_loss": 1.564064383506775, | |
| "eval_runtime": 6.7671, | |
| "eval_samples_per_second": 20.984, | |
| "eval_steps_per_second": 2.66, | |
| "eval_wer": 0.7000871839581517, | |
| "step": 6700 | |
| }, | |
| { | |
| "epoch": 283.33, | |
| "learning_rate": 3.5474999999999995e-05, | |
| "loss": 0.1242, | |
| "step": 6800 | |
| }, | |
| { | |
| "epoch": 283.33, | |
| "eval_loss": 1.5390304327011108, | |
| "eval_runtime": 6.7114, | |
| "eval_samples_per_second": 21.158, | |
| "eval_steps_per_second": 2.682, | |
| "eval_wer": 0.7061900610287707, | |
| "step": 6800 | |
| }, | |
| { | |
| "epoch": 287.5, | |
| "learning_rate": 3.479318181818181e-05, | |
| "loss": 0.12, | |
| "step": 6900 | |
| }, | |
| { | |
| "epoch": 287.5, | |
| "eval_loss": 1.540635585784912, | |
| "eval_runtime": 6.7141, | |
| "eval_samples_per_second": 21.149, | |
| "eval_steps_per_second": 2.681, | |
| "eval_wer": 0.7105492589363557, | |
| "step": 6900 | |
| }, | |
| { | |
| "epoch": 291.67, | |
| "learning_rate": 3.4111363636363634e-05, | |
| "loss": 0.1096, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 291.67, | |
| "eval_loss": 1.5737296342849731, | |
| "eval_runtime": 6.6657, | |
| "eval_samples_per_second": 21.303, | |
| "eval_steps_per_second": 2.7, | |
| "eval_wer": 0.6974716652136007, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 295.83, | |
| "learning_rate": 3.342954545454545e-05, | |
| "loss": 0.113, | |
| "step": 7100 | |
| }, | |
| { | |
| "epoch": 295.83, | |
| "eval_loss": 1.5494580268859863, | |
| "eval_runtime": 6.8629, | |
| "eval_samples_per_second": 20.691, | |
| "eval_steps_per_second": 2.623, | |
| "eval_wer": 0.7210113339145597, | |
| "step": 7100 | |
| }, | |
| { | |
| "epoch": 300.0, | |
| "learning_rate": 3.2747727272727274e-05, | |
| "loss": 0.108, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 300.0, | |
| "eval_loss": 1.5374633073806763, | |
| "eval_runtime": 7.1279, | |
| "eval_samples_per_second": 19.922, | |
| "eval_steps_per_second": 2.525, | |
| "eval_wer": 0.6948561464690497, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 304.17, | |
| "learning_rate": 3.207272727272727e-05, | |
| "loss": 0.1072, | |
| "step": 7300 | |
| }, | |
| { | |
| "epoch": 304.17, | |
| "eval_loss": 1.5337363481521606, | |
| "eval_runtime": 7.1049, | |
| "eval_samples_per_second": 19.986, | |
| "eval_steps_per_second": 2.533, | |
| "eval_wer": 0.7009590235396687, | |
| "step": 7300 | |
| }, | |
| { | |
| "epoch": 308.33, | |
| "learning_rate": 3.139090909090909e-05, | |
| "loss": 0.0979, | |
| "step": 7400 | |
| }, | |
| { | |
| "epoch": 308.33, | |
| "eval_loss": 1.5927180051803589, | |
| "eval_runtime": 6.6123, | |
| "eval_samples_per_second": 21.475, | |
| "eval_steps_per_second": 2.722, | |
| "eval_wer": 0.7061900610287707, | |
| "step": 7400 | |
| }, | |
| { | |
| "epoch": 312.5, | |
| "learning_rate": 3.0709090909090904e-05, | |
| "loss": 0.0983, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 312.5, | |
| "eval_loss": 1.5882079601287842, | |
| "eval_runtime": 6.7832, | |
| "eval_samples_per_second": 20.934, | |
| "eval_steps_per_second": 2.654, | |
| "eval_wer": 0.6843940714908456, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 316.67, | |
| "learning_rate": 3.0027272727272724e-05, | |
| "loss": 0.0977, | |
| "step": 7600 | |
| }, | |
| { | |
| "epoch": 316.67, | |
| "eval_loss": 1.6189255714416504, | |
| "eval_runtime": 6.9471, | |
| "eval_samples_per_second": 20.44, | |
| "eval_steps_per_second": 2.591, | |
| "eval_wer": 0.6957279860505667, | |
| "step": 7600 | |
| }, | |
| { | |
| "epoch": 320.83, | |
| "learning_rate": 2.9352272727272724e-05, | |
| "loss": 0.0947, | |
| "step": 7700 | |
| }, | |
| { | |
| "epoch": 320.83, | |
| "eval_loss": 1.5098397731781006, | |
| "eval_runtime": 6.6241, | |
| "eval_samples_per_second": 21.437, | |
| "eval_steps_per_second": 2.717, | |
| "eval_wer": 0.6817785527462947, | |
| "step": 7700 | |
| }, | |
| { | |
| "epoch": 325.0, | |
| "learning_rate": 2.867045454545454e-05, | |
| "loss": 0.0996, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 325.0, | |
| "eval_loss": 1.6268917322158813, | |
| "eval_runtime": 6.6505, | |
| "eval_samples_per_second": 21.352, | |
| "eval_steps_per_second": 2.707, | |
| "eval_wer": 0.7253705318221447, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 329.17, | |
| "learning_rate": 2.798863636363636e-05, | |
| "loss": 0.0846, | |
| "step": 7900 | |
| }, | |
| { | |
| "epoch": 329.17, | |
| "eval_loss": 1.6366547346115112, | |
| "eval_runtime": 6.9003, | |
| "eval_samples_per_second": 20.579, | |
| "eval_steps_per_second": 2.609, | |
| "eval_wer": 0.7088055797733217, | |
| "step": 7900 | |
| }, | |
| { | |
| "epoch": 333.33, | |
| "learning_rate": 2.7306818181818177e-05, | |
| "loss": 0.0953, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 333.33, | |
| "eval_loss": 1.5965033769607544, | |
| "eval_runtime": 7.0137, | |
| "eval_samples_per_second": 20.246, | |
| "eval_steps_per_second": 2.566, | |
| "eval_wer": 0.7122929380993898, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 337.5, | |
| "learning_rate": 2.6624999999999997e-05, | |
| "loss": 0.0906, | |
| "step": 8100 | |
| }, | |
| { | |
| "epoch": 337.5, | |
| "eval_loss": 1.6095737218856812, | |
| "eval_runtime": 6.5521, | |
| "eval_samples_per_second": 21.672, | |
| "eval_steps_per_second": 2.747, | |
| "eval_wer": 0.7122929380993898, | |
| "step": 8100 | |
| }, | |
| { | |
| "epoch": 341.67, | |
| "learning_rate": 2.5943181818181813e-05, | |
| "loss": 0.093, | |
| "step": 8200 | |
| }, | |
| { | |
| "epoch": 341.67, | |
| "eval_loss": 1.5953401327133179, | |
| "eval_runtime": 6.9512, | |
| "eval_samples_per_second": 20.428, | |
| "eval_steps_per_second": 2.589, | |
| "eval_wer": 0.6983435047951178, | |
| "step": 8200 | |
| }, | |
| { | |
| "epoch": 345.83, | |
| "learning_rate": 2.5261363636363633e-05, | |
| "loss": 0.0784, | |
| "step": 8300 | |
| }, | |
| { | |
| "epoch": 345.83, | |
| "eval_loss": 1.5884095430374146, | |
| "eval_runtime": 6.8928, | |
| "eval_samples_per_second": 20.601, | |
| "eval_steps_per_second": 2.611, | |
| "eval_wer": 0.6913687881429816, | |
| "step": 8300 | |
| }, | |
| { | |
| "epoch": 350.0, | |
| "learning_rate": 2.457954545454545e-05, | |
| "loss": 0.0769, | |
| "step": 8400 | |
| }, | |
| { | |
| "epoch": 350.0, | |
| "eval_loss": 1.5793629884719849, | |
| "eval_runtime": 6.8179, | |
| "eval_samples_per_second": 20.828, | |
| "eval_steps_per_second": 2.64, | |
| "eval_wer": 0.6870095902353966, | |
| "step": 8400 | |
| }, | |
| { | |
| "epoch": 354.17, | |
| "learning_rate": 2.3897727272727272e-05, | |
| "loss": 0.0782, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 354.17, | |
| "eval_loss": 1.6580848693847656, | |
| "eval_runtime": 6.9462, | |
| "eval_samples_per_second": 20.443, | |
| "eval_steps_per_second": 2.591, | |
| "eval_wer": 0.6817785527462947, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 358.33, | |
| "learning_rate": 2.3215909090909092e-05, | |
| "loss": 0.0764, | |
| "step": 8600 | |
| }, | |
| { | |
| "epoch": 358.33, | |
| "eval_loss": 1.6554986238479614, | |
| "eval_runtime": 7.0359, | |
| "eval_samples_per_second": 20.182, | |
| "eval_steps_per_second": 2.558, | |
| "eval_wer": 0.7088055797733217, | |
| "step": 8600 | |
| }, | |
| { | |
| "epoch": 362.5, | |
| "learning_rate": 2.253409090909091e-05, | |
| "loss": 0.073, | |
| "step": 8700 | |
| }, | |
| { | |
| "epoch": 362.5, | |
| "eval_loss": 1.6465544700622559, | |
| "eval_runtime": 6.8477, | |
| "eval_samples_per_second": 20.737, | |
| "eval_steps_per_second": 2.629, | |
| "eval_wer": 0.6931124673060157, | |
| "step": 8700 | |
| }, | |
| { | |
| "epoch": 366.67, | |
| "learning_rate": 2.1852272727272725e-05, | |
| "loss": 0.0703, | |
| "step": 8800 | |
| }, | |
| { | |
| "epoch": 366.67, | |
| "eval_loss": 1.6614816188812256, | |
| "eval_runtime": 7.0115, | |
| "eval_samples_per_second": 20.252, | |
| "eval_steps_per_second": 2.567, | |
| "eval_wer": 0.7114210985178727, | |
| "step": 8800 | |
| }, | |
| { | |
| "epoch": 370.83, | |
| "learning_rate": 2.1170454545454545e-05, | |
| "loss": 0.0707, | |
| "step": 8900 | |
| }, | |
| { | |
| "epoch": 370.83, | |
| "eval_loss": 1.6742826700210571, | |
| "eval_runtime": 6.7568, | |
| "eval_samples_per_second": 21.016, | |
| "eval_steps_per_second": 2.664, | |
| "eval_wer": 0.7079337401918047, | |
| "step": 8900 | |
| }, | |
| { | |
| "epoch": 375.0, | |
| "learning_rate": 2.048863636363636e-05, | |
| "loss": 0.0647, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 375.0, | |
| "eval_loss": 1.6451914310455322, | |
| "eval_runtime": 6.781, | |
| "eval_samples_per_second": 20.941, | |
| "eval_steps_per_second": 2.654, | |
| "eval_wer": 0.7166521360069747, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 379.17, | |
| "learning_rate": 1.980681818181818e-05, | |
| "loss": 0.0614, | |
| "step": 9100 | |
| }, | |
| { | |
| "epoch": 379.17, | |
| "eval_loss": 1.7081646919250488, | |
| "eval_runtime": 6.6825, | |
| "eval_samples_per_second": 21.25, | |
| "eval_steps_per_second": 2.694, | |
| "eval_wer": 0.7122929380993898, | |
| "step": 9100 | |
| }, | |
| { | |
| "epoch": 383.33, | |
| "learning_rate": 1.9124999999999997e-05, | |
| "loss": 0.0646, | |
| "step": 9200 | |
| }, | |
| { | |
| "epoch": 383.33, | |
| "eval_loss": 1.684810757637024, | |
| "eval_runtime": 6.7457, | |
| "eval_samples_per_second": 21.05, | |
| "eval_steps_per_second": 2.668, | |
| "eval_wer": 0.7183958151700087, | |
| "step": 9200 | |
| }, | |
| { | |
| "epoch": 387.5, | |
| "learning_rate": 1.8443181818181817e-05, | |
| "loss": 0.0648, | |
| "step": 9300 | |
| }, | |
| { | |
| "epoch": 387.5, | |
| "eval_loss": 1.65809166431427, | |
| "eval_runtime": 6.5015, | |
| "eval_samples_per_second": 21.841, | |
| "eval_steps_per_second": 2.769, | |
| "eval_wer": 0.7088055797733217, | |
| "step": 9300 | |
| }, | |
| { | |
| "epoch": 391.67, | |
| "learning_rate": 1.7761363636363633e-05, | |
| "loss": 0.0625, | |
| "step": 9400 | |
| }, | |
| { | |
| "epoch": 391.67, | |
| "eval_loss": 1.7315229177474976, | |
| "eval_runtime": 7.2222, | |
| "eval_samples_per_second": 19.662, | |
| "eval_steps_per_second": 2.492, | |
| "eval_wer": 0.7340889276373147, | |
| "step": 9400 | |
| }, | |
| { | |
| "epoch": 395.83, | |
| "learning_rate": 1.7079545454545453e-05, | |
| "loss": 0.0637, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 395.83, | |
| "eval_loss": 1.683098316192627, | |
| "eval_runtime": 6.8952, | |
| "eval_samples_per_second": 20.594, | |
| "eval_steps_per_second": 2.611, | |
| "eval_wer": 0.7027027027027027, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 400.0, | |
| "learning_rate": 1.639772727272727e-05, | |
| "loss": 0.0558, | |
| "step": 9600 | |
| }, | |
| { | |
| "epoch": 400.0, | |
| "eval_loss": 1.7159340381622314, | |
| "eval_runtime": 6.6968, | |
| "eval_samples_per_second": 21.204, | |
| "eval_steps_per_second": 2.688, | |
| "eval_wer": 0.7279860505666957, | |
| "step": 9600 | |
| }, | |
| { | |
| "epoch": 404.17, | |
| "learning_rate": 1.571590909090909e-05, | |
| "loss": 0.0563, | |
| "step": 9700 | |
| }, | |
| { | |
| "epoch": 404.17, | |
| "eval_loss": 1.7474530935287476, | |
| "eval_runtime": 6.7706, | |
| "eval_samples_per_second": 20.973, | |
| "eval_steps_per_second": 2.659, | |
| "eval_wer": 0.7157802964254577, | |
| "step": 9700 | |
| }, | |
| { | |
| "epoch": 408.33, | |
| "learning_rate": 1.5034090909090908e-05, | |
| "loss": 0.0568, | |
| "step": 9800 | |
| }, | |
| { | |
| "epoch": 408.33, | |
| "eval_loss": 1.6776412725448608, | |
| "eval_runtime": 6.9524, | |
| "eval_samples_per_second": 20.425, | |
| "eval_steps_per_second": 2.589, | |
| "eval_wer": 0.6992153443766347, | |
| "step": 9800 | |
| }, | |
| { | |
| "epoch": 412.5, | |
| "learning_rate": 1.4352272727272727e-05, | |
| "loss": 0.0574, | |
| "step": 9900 | |
| }, | |
| { | |
| "epoch": 412.5, | |
| "eval_loss": 1.7150009870529175, | |
| "eval_runtime": 6.8865, | |
| "eval_samples_per_second": 20.62, | |
| "eval_steps_per_second": 2.614, | |
| "eval_wer": 0.6983435047951178, | |
| "step": 9900 | |
| }, | |
| { | |
| "epoch": 416.67, | |
| "learning_rate": 1.3670454545454545e-05, | |
| "loss": 0.0561, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 416.67, | |
| "eval_loss": 1.7315118312835693, | |
| "eval_runtime": 6.8566, | |
| "eval_samples_per_second": 20.71, | |
| "eval_steps_per_second": 2.625, | |
| "eval_wer": 0.7140366172624237, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 420.83, | |
| "learning_rate": 1.2988636363636363e-05, | |
| "loss": 0.0494, | |
| "step": 10100 | |
| }, | |
| { | |
| "epoch": 420.83, | |
| "eval_loss": 1.6868910789489746, | |
| "eval_runtime": 6.9481, | |
| "eval_samples_per_second": 20.437, | |
| "eval_steps_per_second": 2.591, | |
| "eval_wer": 0.7218831734960767, | |
| "step": 10100 | |
| }, | |
| { | |
| "epoch": 425.0, | |
| "learning_rate": 1.2306818181818182e-05, | |
| "loss": 0.0495, | |
| "step": 10200 | |
| }, | |
| { | |
| "epoch": 425.0, | |
| "eval_loss": 1.749950885772705, | |
| "eval_runtime": 6.8281, | |
| "eval_samples_per_second": 20.796, | |
| "eval_steps_per_second": 2.636, | |
| "eval_wer": 0.7262423714036618, | |
| "step": 10200 | |
| }, | |
| { | |
| "epoch": 429.17, | |
| "learning_rate": 1.1625e-05, | |
| "loss": 0.0542, | |
| "step": 10300 | |
| }, | |
| { | |
| "epoch": 429.17, | |
| "eval_loss": 1.7298214435577393, | |
| "eval_runtime": 6.7073, | |
| "eval_samples_per_second": 21.171, | |
| "eval_steps_per_second": 2.684, | |
| "eval_wer": 0.7271142109851787, | |
| "step": 10300 | |
| }, | |
| { | |
| "epoch": 433.33, | |
| "learning_rate": 1.0943181818181818e-05, | |
| "loss": 0.0509, | |
| "step": 10400 | |
| }, | |
| { | |
| "epoch": 433.33, | |
| "eval_loss": 1.7334100008010864, | |
| "eval_runtime": 6.7752, | |
| "eval_samples_per_second": 20.959, | |
| "eval_steps_per_second": 2.657, | |
| "eval_wer": 0.7262423714036618, | |
| "step": 10400 | |
| }, | |
| { | |
| "epoch": 437.5, | |
| "learning_rate": 1.0268181818181817e-05, | |
| "loss": 0.046, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 437.5, | |
| "eval_loss": 1.7047654390335083, | |
| "eval_runtime": 6.3102, | |
| "eval_samples_per_second": 22.503, | |
| "eval_steps_per_second": 2.853, | |
| "eval_wer": 0.7192676547515258, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 441.67, | |
| "learning_rate": 9.586363636363636e-06, | |
| "loss": 0.0423, | |
| "step": 10600 | |
| }, | |
| { | |
| "epoch": 441.67, | |
| "eval_loss": 1.716819167137146, | |
| "eval_runtime": 7.0132, | |
| "eval_samples_per_second": 20.247, | |
| "eval_steps_per_second": 2.567, | |
| "eval_wer": 0.7192676547515258, | |
| "step": 10600 | |
| }, | |
| { | |
| "epoch": 445.83, | |
| "learning_rate": 8.904545454545453e-06, | |
| "loss": 0.0477, | |
| "step": 10700 | |
| }, | |
| { | |
| "epoch": 445.83, | |
| "eval_loss": 1.7387615442276, | |
| "eval_runtime": 6.7039, | |
| "eval_samples_per_second": 21.182, | |
| "eval_steps_per_second": 2.685, | |
| "eval_wer": 0.7210113339145597, | |
| "step": 10700 | |
| }, | |
| { | |
| "epoch": 450.0, | |
| "learning_rate": 8.222727272727273e-06, | |
| "loss": 0.0436, | |
| "step": 10800 | |
| }, | |
| { | |
| "epoch": 450.0, | |
| "eval_loss": 1.7278592586517334, | |
| "eval_runtime": 6.9747, | |
| "eval_samples_per_second": 20.359, | |
| "eval_steps_per_second": 2.581, | |
| "eval_wer": 0.7166521360069747, | |
| "step": 10800 | |
| }, | |
| { | |
| "epoch": 454.17, | |
| "learning_rate": 7.540909090909091e-06, | |
| "loss": 0.0466, | |
| "step": 10900 | |
| }, | |
| { | |
| "epoch": 454.17, | |
| "eval_loss": 1.696805715560913, | |
| "eval_runtime": 6.8023, | |
| "eval_samples_per_second": 20.875, | |
| "eval_steps_per_second": 2.646, | |
| "eval_wer": 0.7053182214472538, | |
| "step": 10900 | |
| }, | |
| { | |
| "epoch": 458.33, | |
| "learning_rate": 6.859090909090909e-06, | |
| "loss": 0.0424, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 458.33, | |
| "eval_loss": 1.7237237691879272, | |
| "eval_runtime": 7.027, | |
| "eval_samples_per_second": 20.208, | |
| "eval_steps_per_second": 2.562, | |
| "eval_wer": 0.7183958151700087, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 462.5, | |
| "learning_rate": 6.177272727272727e-06, | |
| "loss": 0.0447, | |
| "step": 11100 | |
| }, | |
| { | |
| "epoch": 462.5, | |
| "eval_loss": 1.721848726272583, | |
| "eval_runtime": 6.7393, | |
| "eval_samples_per_second": 21.07, | |
| "eval_steps_per_second": 2.671, | |
| "eval_wer": 0.7183958151700087, | |
| "step": 11100 | |
| }, | |
| { | |
| "epoch": 466.67, | |
| "learning_rate": 5.495454545454545e-06, | |
| "loss": 0.0455, | |
| "step": 11200 | |
| }, | |
| { | |
| "epoch": 466.67, | |
| "eval_loss": 1.7505738735198975, | |
| "eval_runtime": 6.8936, | |
| "eval_samples_per_second": 20.599, | |
| "eval_steps_per_second": 2.611, | |
| "eval_wer": 0.7218831734960767, | |
| "step": 11200 | |
| }, | |
| { | |
| "epoch": 470.83, | |
| "learning_rate": 4.813636363636364e-06, | |
| "loss": 0.0446, | |
| "step": 11300 | |
| }, | |
| { | |
| "epoch": 470.83, | |
| "eval_loss": 1.7541626691818237, | |
| "eval_runtime": 6.9153, | |
| "eval_samples_per_second": 20.534, | |
| "eval_steps_per_second": 2.603, | |
| "eval_wer": 0.7279860505666957, | |
| "step": 11300 | |
| }, | |
| { | |
| "epoch": 475.0, | |
| "learning_rate": 4.131818181818182e-06, | |
| "loss": 0.043, | |
| "step": 11400 | |
| }, | |
| { | |
| "epoch": 475.0, | |
| "eval_loss": 1.750115156173706, | |
| "eval_runtime": 6.8671, | |
| "eval_samples_per_second": 20.678, | |
| "eval_steps_per_second": 2.621, | |
| "eval_wer": 0.7201394943330427, | |
| "step": 11400 | |
| }, | |
| { | |
| "epoch": 479.17, | |
| "learning_rate": 3.4499999999999996e-06, | |
| "loss": 0.0397, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 479.17, | |
| "eval_loss": 1.783726692199707, | |
| "eval_runtime": 6.759, | |
| "eval_samples_per_second": 21.009, | |
| "eval_steps_per_second": 2.663, | |
| "eval_wer": 0.7244986922406277, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 483.33, | |
| "learning_rate": 2.768181818181818e-06, | |
| "loss": 0.0402, | |
| "step": 11600 | |
| }, | |
| { | |
| "epoch": 483.33, | |
| "eval_loss": 1.7762095928192139, | |
| "eval_runtime": 6.8013, | |
| "eval_samples_per_second": 20.878, | |
| "eval_steps_per_second": 2.647, | |
| "eval_wer": 0.7175239755884917, | |
| "step": 11600 | |
| }, | |
| { | |
| "epoch": 487.5, | |
| "learning_rate": 2.086363636363636e-06, | |
| "loss": 0.039, | |
| "step": 11700 | |
| }, | |
| { | |
| "epoch": 487.5, | |
| "eval_loss": 1.7771002054214478, | |
| "eval_runtime": 6.9246, | |
| "eval_samples_per_second": 20.507, | |
| "eval_steps_per_second": 2.599, | |
| "eval_wer": 0.7262423714036618, | |
| "step": 11700 | |
| }, | |
| { | |
| "epoch": 491.67, | |
| "learning_rate": 1.4045454545454545e-06, | |
| "loss": 0.0402, | |
| "step": 11800 | |
| }, | |
| { | |
| "epoch": 491.67, | |
| "eval_loss": 1.7563738822937012, | |
| "eval_runtime": 7.1476, | |
| "eval_samples_per_second": 19.867, | |
| "eval_steps_per_second": 2.518, | |
| "eval_wer": 0.7218831734960767, | |
| "step": 11800 | |
| }, | |
| { | |
| "epoch": 495.83, | |
| "learning_rate": 7.227272727272726e-07, | |
| "loss": 0.0368, | |
| "step": 11900 | |
| }, | |
| { | |
| "epoch": 495.83, | |
| "eval_loss": 1.7552615404129028, | |
| "eval_runtime": 6.927, | |
| "eval_samples_per_second": 20.499, | |
| "eval_steps_per_second": 2.599, | |
| "eval_wer": 0.7192676547515258, | |
| "step": 11900 | |
| }, | |
| { | |
| "epoch": 500.0, | |
| "learning_rate": 4.090909090909091e-08, | |
| "loss": 0.0395, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 500.0, | |
| "eval_loss": 1.7564287185668945, | |
| "eval_runtime": 6.7877, | |
| "eval_samples_per_second": 20.92, | |
| "eval_steps_per_second": 2.652, | |
| "eval_wer": 0.7201394943330427, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 500.0, | |
| "step": 12000, | |
| "total_flos": 2.5005546169759453e+19, | |
| "train_loss": 0.7251964689095814, | |
| "train_runtime": 16734.3269, | |
| "train_samples_per_second": 11.294, | |
| "train_steps_per_second": 0.717 | |
| } | |
| ], | |
| "max_steps": 12000, | |
| "num_train_epochs": 500, | |
| "total_flos": 2.5005546169759453e+19, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |