|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 1.3018714401952807, |
|
"eval_steps": 100, |
|
"global_step": 800, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 1.4999999999999999e-05, |
|
"loss": 11.8163, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 2.8499999999999998e-05, |
|
"loss": 11.8929, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 4.3499999999999993e-05, |
|
"loss": 12.0064, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 5.6999999999999996e-05, |
|
"loss": 10.5132, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 7.199999999999999e-05, |
|
"loss": 7.9699, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 8.699999999999999e-05, |
|
"loss": 4.7703, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"learning_rate": 0.000102, |
|
"loss": 3.7982, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"learning_rate": 0.000117, |
|
"loss": 3.436, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.00013199999999999998, |
|
"loss": 3.2573, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 0.000147, |
|
"loss": 3.1412, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"eval_loss": 3.0855324268341064, |
|
"eval_runtime": 1038.5545, |
|
"eval_samples_per_second": 11.178, |
|
"eval_steps_per_second": 0.699, |
|
"eval_wer": 1.0, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 0.000162, |
|
"loss": 3.0577, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 0.00017699999999999997, |
|
"loss": 3.0443, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 0.00019199999999999998, |
|
"loss": 3.0597, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"learning_rate": 0.00020699999999999996, |
|
"loss": 3.061, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 0.00022199999999999998, |
|
"loss": 3.0717, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 0.000237, |
|
"loss": 3.0299, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.28, |
|
"learning_rate": 0.00025199999999999995, |
|
"loss": 3.0295, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"learning_rate": 0.000267, |
|
"loss": 3.0423, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.31, |
|
"learning_rate": 0.00028199999999999997, |
|
"loss": 3.0437, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"learning_rate": 0.00029699999999999996, |
|
"loss": 3.0569, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"eval_loss": 3.036912679672241, |
|
"eval_runtime": 1030.0275, |
|
"eval_samples_per_second": 11.271, |
|
"eval_steps_per_second": 0.705, |
|
"eval_wer": 1.0, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"learning_rate": 0.00029973362930077685, |
|
"loss": 3.0243, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"learning_rate": 0.000299400665926748, |
|
"loss": 3.0236, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"learning_rate": 0.0002990677025527192, |
|
"loss": 3.0316, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"learning_rate": 0.0002987347391786903, |
|
"loss": 3.0363, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"learning_rate": 0.00029840177580466146, |
|
"loss": 3.0582, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"learning_rate": 0.0002980688124306326, |
|
"loss": 3.0144, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"learning_rate": 0.00029773584905660376, |
|
"loss": 3.0126, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 0.46, |
|
"learning_rate": 0.0002974028856825749, |
|
"loss": 3.0035, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 0.47, |
|
"learning_rate": 0.000297069922308546, |
|
"loss": 2.9913, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"learning_rate": 0.00029673695893451716, |
|
"loss": 2.9625, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"eval_loss": 2.977771520614624, |
|
"eval_runtime": 1042.3792, |
|
"eval_samples_per_second": 11.137, |
|
"eval_steps_per_second": 0.696, |
|
"eval_wer": 1.0, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.5, |
|
"learning_rate": 0.0002964039955604883, |
|
"loss": 2.9686, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 0.52, |
|
"learning_rate": 0.00029607103218645946, |
|
"loss": 2.8773, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"learning_rate": 0.0002957380688124306, |
|
"loss": 2.726, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 0.55, |
|
"learning_rate": 0.00029540510543840177, |
|
"loss": 2.3671, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"learning_rate": 0.0002950721420643729, |
|
"loss": 1.9479, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.59, |
|
"learning_rate": 0.000294739178690344, |
|
"loss": 1.5549, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"learning_rate": 0.00029440621531631517, |
|
"loss": 1.1765, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"learning_rate": 0.0002940732519422863, |
|
"loss": 0.9155, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 0.63, |
|
"learning_rate": 0.00029374028856825747, |
|
"loss": 0.7823, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"learning_rate": 0.0002934073251942286, |
|
"loss": 0.7715, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"eval_loss": 0.5112669467926025, |
|
"eval_runtime": 1048.8544, |
|
"eval_samples_per_second": 11.068, |
|
"eval_steps_per_second": 0.692, |
|
"eval_wer": 0.718480591159969, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.67, |
|
"learning_rate": 0.00029307436182019977, |
|
"loss": 0.6635, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"learning_rate": 0.0002927413984461709, |
|
"loss": 0.6032, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 0.7, |
|
"learning_rate": 0.000292408435072142, |
|
"loss": 0.5401, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"learning_rate": 0.00029207547169811317, |
|
"loss": 0.5276, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"learning_rate": 0.0002917425083240843, |
|
"loss": 0.5713, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 0.75, |
|
"learning_rate": 0.0002914095449500555, |
|
"loss": 0.46, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 0.76, |
|
"learning_rate": 0.0002910765815760266, |
|
"loss": 0.4508, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"learning_rate": 0.0002907436182019977, |
|
"loss": 0.447, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"learning_rate": 0.00029041065482796893, |
|
"loss": 0.4454, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"learning_rate": 0.0002900776914539401, |
|
"loss": 0.4725, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"eval_loss": 0.3072386682033539, |
|
"eval_runtime": 1051.5656, |
|
"eval_samples_per_second": 11.04, |
|
"eval_steps_per_second": 0.69, |
|
"eval_wer": 0.5137640833827487, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.83, |
|
"learning_rate": 0.0002897447280799112, |
|
"loss": 0.3822, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"learning_rate": 0.00028941176470588233, |
|
"loss": 0.3807, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"learning_rate": 0.0002890788013318535, |
|
"loss": 0.3827, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"learning_rate": 0.00028874583795782463, |
|
"loss": 0.3945, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"learning_rate": 0.00028841287458379573, |
|
"loss": 0.4519, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 0.91, |
|
"learning_rate": 0.0002880799112097669, |
|
"loss": 0.3534, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"learning_rate": 0.00028774694783573803, |
|
"loss": 0.3731, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"learning_rate": 0.0002874139844617092, |
|
"loss": 0.3433, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"learning_rate": 0.00028708102108768033, |
|
"loss": 0.3547, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 0.98, |
|
"learning_rate": 0.0002867480577136515, |
|
"loss": 0.4103, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.98, |
|
"eval_loss": 0.24468904733657837, |
|
"eval_runtime": 1043.2136, |
|
"eval_samples_per_second": 11.128, |
|
"eval_steps_per_second": 0.696, |
|
"eval_wer": 0.4336997673676048, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"learning_rate": 0.00028641509433962264, |
|
"loss": 0.3484, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 1.01, |
|
"learning_rate": 0.00028608213096559373, |
|
"loss": 0.3775, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 1.03, |
|
"learning_rate": 0.0002857491675915649, |
|
"loss": 0.3207, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 1.04, |
|
"learning_rate": 0.00028541620421753604, |
|
"loss": 0.2971, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"learning_rate": 0.0002850832408435072, |
|
"loss": 0.3129, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 1.07, |
|
"learning_rate": 0.00028475027746947834, |
|
"loss": 0.3143, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"learning_rate": 0.0002844173140954495, |
|
"loss": 0.3179, |
|
"step": 670 |
|
}, |
|
{ |
|
"epoch": 1.11, |
|
"learning_rate": 0.00028408435072142064, |
|
"loss": 0.299, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"learning_rate": 0.0002837513873473918, |
|
"loss": 0.2734, |
|
"step": 690 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"learning_rate": 0.0002834184239733629, |
|
"loss": 0.2775, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"eval_loss": 0.2055242359638214, |
|
"eval_runtime": 1053.2634, |
|
"eval_samples_per_second": 11.022, |
|
"eval_steps_per_second": 0.689, |
|
"eval_wer": 0.3768644802262464, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 1.16, |
|
"learning_rate": 0.00028308546059933404, |
|
"loss": 0.2878, |
|
"step": 710 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"learning_rate": 0.0002827524972253052, |
|
"loss": 0.307, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 1.19, |
|
"learning_rate": 0.00028241953385127634, |
|
"loss": 0.2848, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"learning_rate": 0.00028208657047724744, |
|
"loss": 0.2744, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 1.22, |
|
"learning_rate": 0.00028175360710321865, |
|
"loss": 0.2839, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 1.24, |
|
"learning_rate": 0.0002814206437291898, |
|
"loss": 0.2888, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"learning_rate": 0.0002810876803551609, |
|
"loss": 0.288, |
|
"step": 770 |
|
}, |
|
{ |
|
"epoch": 1.27, |
|
"learning_rate": 0.00028075471698113205, |
|
"loss": 0.2559, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"learning_rate": 0.0002804217536071032, |
|
"loss": 0.2498, |
|
"step": 790 |
|
}, |
|
{ |
|
"epoch": 1.3, |
|
"learning_rate": 0.00028008879023307435, |
|
"loss": 0.2554, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 1.3, |
|
"eval_loss": 0.19498416781425476, |
|
"eval_runtime": 1045.8615, |
|
"eval_samples_per_second": 11.1, |
|
"eval_steps_per_second": 0.694, |
|
"eval_wer": 0.360272316744971, |
|
"step": 800 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 9210, |
|
"num_train_epochs": 15, |
|
"save_steps": 200, |
|
"total_flos": 8.434188267601859e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|