| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.9357336430507162, | |
| "eval_steps": 100, | |
| "global_step": 10000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.019357336430507164, | |
| "eval_loss": 3.5727736949920654, | |
| "eval_runtime": 146.249, | |
| "eval_samples_per_second": 38.674, | |
| "eval_steps_per_second": 4.834, | |
| "eval_wer": 1.0, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.03871467286101433, | |
| "eval_loss": 3.076800584793091, | |
| "eval_runtime": 143.9591, | |
| "eval_samples_per_second": 39.289, | |
| "eval_steps_per_second": 4.911, | |
| "eval_wer": 1.0, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.05807200929152149, | |
| "eval_loss": 3.500979423522949, | |
| "eval_runtime": 144.2352, | |
| "eval_samples_per_second": 39.214, | |
| "eval_steps_per_second": 4.902, | |
| "eval_wer": 1.0, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.07742934572202866, | |
| "eval_loss": 2.0594074726104736, | |
| "eval_runtime": 144.7975, | |
| "eval_samples_per_second": 39.061, | |
| "eval_steps_per_second": 4.883, | |
| "eval_wer": 0.9899857168076263, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.09678668215253582, | |
| "grad_norm": 3.567307710647583, | |
| "learning_rate": 0.00029759999999999997, | |
| "loss": 4.06, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.09678668215253582, | |
| "eval_loss": 1.4703481197357178, | |
| "eval_runtime": 145.0673, | |
| "eval_samples_per_second": 38.989, | |
| "eval_steps_per_second": 4.874, | |
| "eval_wer": 0.8800211840605993, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.11614401858304298, | |
| "eval_loss": 1.2463648319244385, | |
| "eval_runtime": 146.5204, | |
| "eval_samples_per_second": 38.602, | |
| "eval_steps_per_second": 4.825, | |
| "eval_wer": 0.8296608945451044, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.13550135501355012, | |
| "eval_loss": 1.0686180591583252, | |
| "eval_runtime": 145.9363, | |
| "eval_samples_per_second": 38.757, | |
| "eval_steps_per_second": 4.845, | |
| "eval_wer": 0.7492738039832453, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.1548586914440573, | |
| "eval_loss": 1.006879448890686, | |
| "eval_runtime": 146.414, | |
| "eval_samples_per_second": 38.63, | |
| "eval_steps_per_second": 4.829, | |
| "eval_wer": 0.7116239508273018, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.17421602787456447, | |
| "eval_loss": 0.936712920665741, | |
| "eval_runtime": 146.8805, | |
| "eval_samples_per_second": 38.507, | |
| "eval_steps_per_second": 4.813, | |
| "eval_wer": 0.6887868915600777, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.19357336430507163, | |
| "grad_norm": 2.5543222427368164, | |
| "learning_rate": 0.0002844, | |
| "loss": 1.0399, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.19357336430507163, | |
| "eval_loss": 0.8960636854171753, | |
| "eval_runtime": 146.9745, | |
| "eval_samples_per_second": 38.483, | |
| "eval_steps_per_second": 4.81, | |
| "eval_wer": 0.6741987771019563, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.2129307007355788, | |
| "eval_loss": 0.896744430065155, | |
| "eval_runtime": 146.7401, | |
| "eval_samples_per_second": 38.544, | |
| "eval_steps_per_second": 4.818, | |
| "eval_wer": 0.6412671919885734, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.23228803716608595, | |
| "eval_loss": 0.8311247825622559, | |
| "eval_runtime": 145.8768, | |
| "eval_samples_per_second": 38.772, | |
| "eval_steps_per_second": 4.847, | |
| "eval_wer": 0.6152685721622185, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.2516453735965931, | |
| "eval_loss": 0.8018700480461121, | |
| "eval_runtime": 146.5709, | |
| "eval_samples_per_second": 38.589, | |
| "eval_steps_per_second": 4.824, | |
| "eval_wer": 0.5965238882380318, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.27100271002710025, | |
| "eval_loss": 0.7925447225570679, | |
| "eval_runtime": 146.4405, | |
| "eval_samples_per_second": 38.623, | |
| "eval_steps_per_second": 4.828, | |
| "eval_wer": 0.5926561923255926, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.29036004645760743, | |
| "grad_norm": 2.373326539993286, | |
| "learning_rate": 0.00026861052631578947, | |
| "loss": 0.8395, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.29036004645760743, | |
| "eval_loss": 0.8164969086647034, | |
| "eval_runtime": 151.4209, | |
| "eval_samples_per_second": 37.353, | |
| "eval_steps_per_second": 4.669, | |
| "eval_wer": 0.5986743913594711, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.3097173828881146, | |
| "eval_loss": 0.7696186304092407, | |
| "eval_runtime": 147.0556, | |
| "eval_samples_per_second": 38.462, | |
| "eval_steps_per_second": 4.808, | |
| "eval_wer": 0.6150278442008634, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 0.32907471931862176, | |
| "eval_loss": 0.7454735636711121, | |
| "eval_runtime": 148.1475, | |
| "eval_samples_per_second": 38.178, | |
| "eval_steps_per_second": 4.772, | |
| "eval_wer": 0.5624207603793873, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 0.34843205574912894, | |
| "eval_loss": 0.7681124806404114, | |
| "eval_runtime": 147.9355, | |
| "eval_samples_per_second": 38.233, | |
| "eval_steps_per_second": 4.779, | |
| "eval_wer": 0.5684068623517518, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.3677893921796361, | |
| "eval_loss": 0.7292491793632507, | |
| "eval_runtime": 148.2347, | |
| "eval_samples_per_second": 38.156, | |
| "eval_steps_per_second": 4.769, | |
| "eval_wer": 0.5609282470189854, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 0.38714672861014326, | |
| "grad_norm": 2.988316059112549, | |
| "learning_rate": 0.0002528210526315789, | |
| "loss": 0.7574, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.38714672861014326, | |
| "eval_loss": 0.7304644584655762, | |
| "eval_runtime": 148.3775, | |
| "eval_samples_per_second": 38.119, | |
| "eval_steps_per_second": 4.765, | |
| "eval_wer": 0.5534014860939481, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.4065040650406504, | |
| "eval_loss": 0.7095713019371033, | |
| "eval_runtime": 148.1439, | |
| "eval_samples_per_second": 38.179, | |
| "eval_steps_per_second": 4.772, | |
| "eval_wer": 0.5363418978992474, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 0.4258614014711576, | |
| "eval_loss": 0.7107743620872498, | |
| "eval_runtime": 147.443, | |
| "eval_samples_per_second": 38.361, | |
| "eval_steps_per_second": 4.795, | |
| "eval_wer": 0.5572370849448733, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 0.4452187379016647, | |
| "eval_loss": 0.6702781319618225, | |
| "eval_runtime": 147.3568, | |
| "eval_samples_per_second": 38.383, | |
| "eval_steps_per_second": 4.798, | |
| "eval_wer": 0.5175330198520326, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 0.4645760743321719, | |
| "eval_loss": 0.6596451997756958, | |
| "eval_runtime": 148.5753, | |
| "eval_samples_per_second": 38.068, | |
| "eval_steps_per_second": 4.759, | |
| "eval_wer": 0.514885012277126, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 0.48393341076267904, | |
| "grad_norm": 3.3213086128234863, | |
| "learning_rate": 0.0002370315789473684, | |
| "loss": 0.6864, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.48393341076267904, | |
| "eval_loss": 0.6845841407775879, | |
| "eval_runtime": 149.4982, | |
| "eval_samples_per_second": 37.833, | |
| "eval_steps_per_second": 4.729, | |
| "eval_wer": 0.5336457447320698, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.5032907471931862, | |
| "eval_loss": 0.6666129231452942, | |
| "eval_runtime": 148.0482, | |
| "eval_samples_per_second": 38.204, | |
| "eval_steps_per_second": 4.775, | |
| "eval_wer": 0.5285744090128549, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 0.5226480836236934, | |
| "eval_loss": 0.6390946507453918, | |
| "eval_runtime": 148.4402, | |
| "eval_samples_per_second": 38.103, | |
| "eval_steps_per_second": 4.763, | |
| "eval_wer": 0.4949366885461636, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 0.5420054200542005, | |
| "eval_loss": 0.6295592188835144, | |
| "eval_runtime": 147.8141, | |
| "eval_samples_per_second": 38.264, | |
| "eval_steps_per_second": 4.783, | |
| "eval_wer": 0.4989648697661729, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 0.5613627564847077, | |
| "eval_loss": 0.6291782855987549, | |
| "eval_runtime": 148.1212, | |
| "eval_samples_per_second": 38.185, | |
| "eval_steps_per_second": 4.773, | |
| "eval_wer": 0.4957391150840141, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 0.5807200929152149, | |
| "grad_norm": 5.012236595153809, | |
| "learning_rate": 0.00022124210526315786, | |
| "loss": 0.6734, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.5807200929152149, | |
| "eval_loss": 0.6164219975471497, | |
| "eval_runtime": 148.0479, | |
| "eval_samples_per_second": 38.204, | |
| "eval_steps_per_second": 4.775, | |
| "eval_wer": 0.47652902376787404, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.6000774293457221, | |
| "eval_loss": 0.6179572343826294, | |
| "eval_runtime": 148.2452, | |
| "eval_samples_per_second": 38.153, | |
| "eval_steps_per_second": 4.769, | |
| "eval_wer": 0.4777808091669208, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 0.6194347657762292, | |
| "eval_loss": 0.6132367849349976, | |
| "eval_runtime": 148.4317, | |
| "eval_samples_per_second": 38.105, | |
| "eval_steps_per_second": 4.763, | |
| "eval_wer": 0.49086036173388325, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 0.6387921022067363, | |
| "eval_loss": 0.6107444763183594, | |
| "eval_runtime": 148.2189, | |
| "eval_samples_per_second": 38.16, | |
| "eval_steps_per_second": 4.77, | |
| "eval_wer": 0.4683442730817994, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 0.6581494386372435, | |
| "eval_loss": 0.6068131327629089, | |
| "eval_runtime": 147.7251, | |
| "eval_samples_per_second": 38.287, | |
| "eval_steps_per_second": 4.786, | |
| "eval_wer": 0.4748760250999021, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 0.6775067750677507, | |
| "grad_norm": 3.184985399246216, | |
| "learning_rate": 0.00020545263157894736, | |
| "loss": 0.6433, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.6775067750677507, | |
| "eval_loss": 0.6008120775222778, | |
| "eval_runtime": 147.947, | |
| "eval_samples_per_second": 38.23, | |
| "eval_steps_per_second": 4.779, | |
| "eval_wer": 0.47725120765193946, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.6968641114982579, | |
| "eval_loss": 0.5916668772697449, | |
| "eval_runtime": 147.0363, | |
| "eval_samples_per_second": 38.467, | |
| "eval_steps_per_second": 4.808, | |
| "eval_wer": 0.4656320713838648, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 0.716221447928765, | |
| "eval_loss": 0.5885007381439209, | |
| "eval_runtime": 148.9484, | |
| "eval_samples_per_second": 37.973, | |
| "eval_steps_per_second": 4.747, | |
| "eval_wer": 0.4600953282726966, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 0.7355787843592722, | |
| "eval_loss": 0.5848101377487183, | |
| "eval_runtime": 148.7388, | |
| "eval_samples_per_second": 38.026, | |
| "eval_steps_per_second": 4.753, | |
| "eval_wer": 0.44823546404326686, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 0.7549361207897793, | |
| "eval_loss": 0.5852195620536804, | |
| "eval_runtime": 148.3227, | |
| "eval_samples_per_second": 38.133, | |
| "eval_steps_per_second": 4.767, | |
| "eval_wer": 0.44963168621912664, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 0.7742934572202865, | |
| "grad_norm": 4.9515814781188965, | |
| "learning_rate": 0.00018966315789473683, | |
| "loss": 0.6217, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.7742934572202865, | |
| "eval_loss": 0.577220618724823, | |
| "eval_runtime": 147.6504, | |
| "eval_samples_per_second": 38.307, | |
| "eval_steps_per_second": 4.788, | |
| "eval_wer": 0.44163951790213607, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.7936507936507936, | |
| "eval_loss": 0.56705242395401, | |
| "eval_runtime": 152.2357, | |
| "eval_samples_per_second": 37.153, | |
| "eval_steps_per_second": 4.644, | |
| "eval_wer": 0.44691948452119207, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 0.8130081300813008, | |
| "eval_loss": 0.5668296813964844, | |
| "eval_runtime": 148.0111, | |
| "eval_samples_per_second": 38.213, | |
| "eval_steps_per_second": 4.777, | |
| "eval_wer": 0.4462614947601547, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 0.832365466511808, | |
| "eval_loss": 0.5557947754859924, | |
| "eval_runtime": 149.4281, | |
| "eval_samples_per_second": 37.851, | |
| "eval_steps_per_second": 4.731, | |
| "eval_wer": 0.44006676188794913, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 0.8517228029423152, | |
| "eval_loss": 0.5651959776878357, | |
| "eval_runtime": 149.3956, | |
| "eval_samples_per_second": 37.859, | |
| "eval_steps_per_second": 4.732, | |
| "eval_wer": 0.4306783713950988, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 0.8710801393728222, | |
| "grad_norm": 3.5483193397521973, | |
| "learning_rate": 0.0001738736842105263, | |
| "loss": 0.5954, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.8710801393728222, | |
| "eval_loss": 0.5561267733573914, | |
| "eval_runtime": 149.9212, | |
| "eval_samples_per_second": 37.726, | |
| "eval_steps_per_second": 4.716, | |
| "eval_wer": 0.4307265169873698, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.8904374758033294, | |
| "eval_loss": 0.5431749820709229, | |
| "eval_runtime": 149.9454, | |
| "eval_samples_per_second": 37.72, | |
| "eval_steps_per_second": 4.715, | |
| "eval_wer": 0.420648039671968, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 0.9097948122338366, | |
| "eval_loss": 0.5294374823570251, | |
| "eval_runtime": 148.9794, | |
| "eval_samples_per_second": 37.965, | |
| "eval_steps_per_second": 4.746, | |
| "eval_wer": 0.41371507438494004, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 0.9291521486643438, | |
| "eval_loss": 0.5444126725196838, | |
| "eval_runtime": 148.5962, | |
| "eval_samples_per_second": 38.063, | |
| "eval_steps_per_second": 4.758, | |
| "eval_wer": 0.4209529617563512, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 0.948509485094851, | |
| "eval_loss": 0.5291473269462585, | |
| "eval_runtime": 150.1832, | |
| "eval_samples_per_second": 37.661, | |
| "eval_steps_per_second": 4.708, | |
| "eval_wer": 0.4156569466065382, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 0.9678668215253581, | |
| "grad_norm": 3.1595053672790527, | |
| "learning_rate": 0.0001581157894736842, | |
| "loss": 0.5663, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.9678668215253581, | |
| "eval_loss": 0.5428867340087891, | |
| "eval_runtime": 149.6435, | |
| "eval_samples_per_second": 37.797, | |
| "eval_steps_per_second": 4.725, | |
| "eval_wer": 0.4139558023462952, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.9872241579558653, | |
| "eval_loss": 0.5208781361579895, | |
| "eval_runtime": 149.0703, | |
| "eval_samples_per_second": 37.942, | |
| "eval_steps_per_second": 4.743, | |
| "eval_wer": 0.41159666832501485, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 1.0065814943863725, | |
| "eval_loss": 0.5281690359115601, | |
| "eval_runtime": 148.6703, | |
| "eval_samples_per_second": 38.044, | |
| "eval_steps_per_second": 4.755, | |
| "eval_wer": 0.40421434417679064, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 1.0259388308168795, | |
| "eval_loss": 0.5118032693862915, | |
| "eval_runtime": 148.0473, | |
| "eval_samples_per_second": 38.204, | |
| "eval_steps_per_second": 4.776, | |
| "eval_wer": 0.39184092696313655, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 1.0452961672473868, | |
| "eval_loss": 0.5089045166969299, | |
| "eval_runtime": 147.9634, | |
| "eval_samples_per_second": 38.226, | |
| "eval_steps_per_second": 4.778, | |
| "eval_wer": 0.39927139670363176, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 1.064653503677894, | |
| "grad_norm": 2.1315221786499023, | |
| "learning_rate": 0.0001423578947368421, | |
| "loss": 0.4941, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 1.064653503677894, | |
| "eval_loss": 0.5010989308357239, | |
| "eval_runtime": 147.8753, | |
| "eval_samples_per_second": 38.248, | |
| "eval_steps_per_second": 4.781, | |
| "eval_wer": 0.3921458490475197, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 1.084010840108401, | |
| "eval_loss": 0.5022321343421936, | |
| "eval_runtime": 148.3164, | |
| "eval_samples_per_second": 38.135, | |
| "eval_steps_per_second": 4.767, | |
| "eval_wer": 0.38869541493476273, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 1.1033681765389083, | |
| "eval_loss": 0.5066320896148682, | |
| "eval_runtime": 148.554, | |
| "eval_samples_per_second": 38.074, | |
| "eval_steps_per_second": 4.759, | |
| "eval_wer": 0.38526102935276274, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 1.1227255129694154, | |
| "eval_loss": 0.49068546295166016, | |
| "eval_runtime": 148.2455, | |
| "eval_samples_per_second": 38.153, | |
| "eval_steps_per_second": 4.769, | |
| "eval_wer": 0.3815217216863796, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 1.1420828493999227, | |
| "eval_loss": 0.4982084035873413, | |
| "eval_runtime": 148.9817, | |
| "eval_samples_per_second": 37.964, | |
| "eval_steps_per_second": 4.746, | |
| "eval_wer": 0.38086373192534223, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 1.1614401858304297, | |
| "grad_norm": 0.8627763390541077, | |
| "learning_rate": 0.00012656842105263156, | |
| "loss": 0.4628, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 1.1614401858304297, | |
| "eval_loss": 0.49128398299217224, | |
| "eval_runtime": 149.7714, | |
| "eval_samples_per_second": 37.764, | |
| "eval_steps_per_second": 4.721, | |
| "eval_wer": 0.38956203559564123, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 1.1807975222609368, | |
| "eval_loss": 0.48260679841041565, | |
| "eval_runtime": 149.8626, | |
| "eval_samples_per_second": 37.741, | |
| "eval_steps_per_second": 4.718, | |
| "eval_wer": 0.373449310715604, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 1.2001548586914441, | |
| "eval_loss": 0.4883708655834198, | |
| "eval_runtime": 149.0462, | |
| "eval_samples_per_second": 37.948, | |
| "eval_steps_per_second": 4.743, | |
| "eval_wer": 0.3739949607613423, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 1.2195121951219512, | |
| "eval_loss": 0.4841243028640747, | |
| "eval_runtime": 148.8948, | |
| "eval_samples_per_second": 37.987, | |
| "eval_steps_per_second": 4.748, | |
| "eval_wer": 0.37004702219511804, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 1.2388695315524583, | |
| "eval_loss": 0.4828014671802521, | |
| "eval_runtime": 149.5102, | |
| "eval_samples_per_second": 37.83, | |
| "eval_steps_per_second": 4.729, | |
| "eval_wer": 0.36971000304922086, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 1.2582268679829656, | |
| "grad_norm": 1.5625278949737549, | |
| "learning_rate": 0.00011077894736842105, | |
| "loss": 0.4435, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 1.2582268679829656, | |
| "eval_loss": 0.48161521553993225, | |
| "eval_runtime": 148.9005, | |
| "eval_samples_per_second": 37.985, | |
| "eval_steps_per_second": 4.748, | |
| "eval_wer": 0.37389866957680024, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 1.2775842044134726, | |
| "eval_loss": 0.47928386926651, | |
| "eval_runtime": 149.5106, | |
| "eval_samples_per_second": 37.83, | |
| "eval_steps_per_second": 4.729, | |
| "eval_wer": 0.3673990146202115, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 1.29694154084398, | |
| "eval_loss": 0.4744218587875366, | |
| "eval_runtime": 148.9048, | |
| "eval_samples_per_second": 37.984, | |
| "eval_steps_per_second": 4.748, | |
| "eval_wer": 0.36688546163598723, | |
| "step": 6700 | |
| }, | |
| { | |
| "epoch": 1.316298877274487, | |
| "eval_loss": 0.46821942925453186, | |
| "eval_runtime": 148.7411, | |
| "eval_samples_per_second": 38.026, | |
| "eval_steps_per_second": 4.753, | |
| "eval_wer": 0.3608672626021088, | |
| "step": 6800 | |
| }, | |
| { | |
| "epoch": 1.3356562137049943, | |
| "eval_loss": 0.46276068687438965, | |
| "eval_runtime": 150.3036, | |
| "eval_samples_per_second": 37.63, | |
| "eval_steps_per_second": 4.704, | |
| "eval_wer": 0.359438943364735, | |
| "step": 6900 | |
| }, | |
| { | |
| "epoch": 1.3550135501355014, | |
| "grad_norm": 0.7794021964073181, | |
| "learning_rate": 9.498947368421052e-05, | |
| "loss": 0.4298, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 1.3550135501355014, | |
| "eval_loss": 0.4662827253341675, | |
| "eval_runtime": 149.5174, | |
| "eval_samples_per_second": 37.828, | |
| "eval_steps_per_second": 4.729, | |
| "eval_wer": 0.3554428592062397, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 1.3743708865660085, | |
| "eval_loss": 0.4656233489513397, | |
| "eval_runtime": 148.8165, | |
| "eval_samples_per_second": 38.007, | |
| "eval_steps_per_second": 4.751, | |
| "eval_wer": 0.3583797403347724, | |
| "step": 7100 | |
| }, | |
| { | |
| "epoch": 1.3937282229965158, | |
| "eval_loss": 0.45931774377822876, | |
| "eval_runtime": 150.2338, | |
| "eval_samples_per_second": 37.648, | |
| "eval_steps_per_second": 4.706, | |
| "eval_wer": 0.35648601370544525, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 1.4130855594270229, | |
| "eval_loss": 0.45989105105400085, | |
| "eval_runtime": 150.9977, | |
| "eval_samples_per_second": 37.458, | |
| "eval_steps_per_second": 4.682, | |
| "eval_wer": 0.3565823048899873, | |
| "step": 7300 | |
| }, | |
| { | |
| "epoch": 1.43244289585753, | |
| "eval_loss": 0.46128061413764954, | |
| "eval_runtime": 150.0246, | |
| "eval_samples_per_second": 37.7, | |
| "eval_steps_per_second": 4.713, | |
| "eval_wer": 0.35208871627802474, | |
| "step": 7400 | |
| }, | |
| { | |
| "epoch": 1.4518002322880372, | |
| "grad_norm": 0.7098228931427002, | |
| "learning_rate": 7.92e-05, | |
| "loss": 0.4292, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 1.4518002322880372, | |
| "eval_loss": 0.4520701467990875, | |
| "eval_runtime": 149.5493, | |
| "eval_samples_per_second": 37.82, | |
| "eval_steps_per_second": 4.728, | |
| "eval_wer": 0.34745069088924907, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 1.4711575687185443, | |
| "eval_loss": 0.4512416422367096, | |
| "eval_runtime": 149.5055, | |
| "eval_samples_per_second": 37.831, | |
| "eval_steps_per_second": 4.729, | |
| "eval_wer": 0.349071592495707, | |
| "step": 7600 | |
| }, | |
| { | |
| "epoch": 1.4905149051490514, | |
| "eval_loss": 0.4478435218334198, | |
| "eval_runtime": 149.0622, | |
| "eval_samples_per_second": 37.944, | |
| "eval_steps_per_second": 4.743, | |
| "eval_wer": 0.35175169713212756, | |
| "step": 7700 | |
| }, | |
| { | |
| "epoch": 1.5098722415795587, | |
| "eval_loss": 0.4415859878063202, | |
| "eval_runtime": 148.899, | |
| "eval_samples_per_second": 37.985, | |
| "eval_steps_per_second": 4.748, | |
| "eval_wer": 0.34213862720867905, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 1.5292295780100658, | |
| "eval_loss": 0.4426974952220917, | |
| "eval_runtime": 149.2815, | |
| "eval_samples_per_second": 37.888, | |
| "eval_steps_per_second": 4.736, | |
| "eval_wer": 0.3458779348750622, | |
| "step": 7900 | |
| }, | |
| { | |
| "epoch": 1.5485869144405728, | |
| "grad_norm": 1.0578420162200928, | |
| "learning_rate": 6.344210526315788e-05, | |
| "loss": 0.4072, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 1.5485869144405728, | |
| "eval_loss": 0.43879374861717224, | |
| "eval_runtime": 148.7049, | |
| "eval_samples_per_second": 38.035, | |
| "eval_steps_per_second": 4.754, | |
| "eval_wer": 0.34565325544446407, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 1.5679442508710801, | |
| "eval_loss": 0.44011563062667847, | |
| "eval_runtime": 150.4046, | |
| "eval_samples_per_second": 37.605, | |
| "eval_steps_per_second": 4.701, | |
| "eval_wer": 0.3453162362985669, | |
| "step": 8100 | |
| }, | |
| { | |
| "epoch": 1.5873015873015874, | |
| "eval_loss": 0.43649429082870483, | |
| "eval_runtime": 148.8759, | |
| "eval_samples_per_second": 37.991, | |
| "eval_steps_per_second": 4.749, | |
| "eval_wer": 0.3434385581999968, | |
| "step": 8200 | |
| }, | |
| { | |
| "epoch": 1.6066589237320945, | |
| "eval_loss": 0.4346481263637543, | |
| "eval_runtime": 149.1351, | |
| "eval_samples_per_second": 37.925, | |
| "eval_steps_per_second": 4.741, | |
| "eval_wer": 0.33974739612588467, | |
| "step": 8300 | |
| }, | |
| { | |
| "epoch": 1.6260162601626016, | |
| "eval_loss": 0.43247029185295105, | |
| "eval_runtime": 149.5691, | |
| "eval_samples_per_second": 37.815, | |
| "eval_steps_per_second": 4.727, | |
| "eval_wer": 0.33604018552101556, | |
| "step": 8400 | |
| }, | |
| { | |
| "epoch": 1.645373596593109, | |
| "grad_norm": 1.7964462041854858, | |
| "learning_rate": 4.765263157894736e-05, | |
| "loss": 0.3991, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 1.645373596593109, | |
| "eval_loss": 0.43196219205856323, | |
| "eval_runtime": 150.109, | |
| "eval_samples_per_second": 37.679, | |
| "eval_steps_per_second": 4.71, | |
| "eval_wer": 0.3357834090289034, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 1.664730933023616, | |
| "eval_loss": 0.42872872948646545, | |
| "eval_runtime": 150.0401, | |
| "eval_samples_per_second": 37.697, | |
| "eval_steps_per_second": 4.712, | |
| "eval_wer": 0.3354624384137632, | |
| "step": 8600 | |
| }, | |
| { | |
| "epoch": 1.684088269454123, | |
| "eval_loss": 0.42928823828697205, | |
| "eval_runtime": 149.2284, | |
| "eval_samples_per_second": 37.902, | |
| "eval_steps_per_second": 4.738, | |
| "eval_wer": 0.33342427500762306, | |
| "step": 8700 | |
| }, | |
| { | |
| "epoch": 1.7034456058846303, | |
| "eval_loss": 0.4271656274795532, | |
| "eval_runtime": 149.5274, | |
| "eval_samples_per_second": 37.826, | |
| "eval_steps_per_second": 4.728, | |
| "eval_wer": 0.333327983823081, | |
| "step": 8800 | |
| }, | |
| { | |
| "epoch": 1.7228029423151374, | |
| "eval_loss": 0.4219857156276703, | |
| "eval_runtime": 149.1865, | |
| "eval_samples_per_second": 37.912, | |
| "eval_steps_per_second": 4.739, | |
| "eval_wer": 0.3302948115100063, | |
| "step": 8900 | |
| }, | |
| { | |
| "epoch": 1.7421602787456445, | |
| "grad_norm": 1.7460029125213623, | |
| "learning_rate": 3.189473684210526e-05, | |
| "loss": 0.3916, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 1.7421602787456445, | |
| "eval_loss": 0.4238153398036957, | |
| "eval_runtime": 149.4733, | |
| "eval_samples_per_second": 37.84, | |
| "eval_steps_per_second": 4.73, | |
| "eval_wer": 0.3291874628877726, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 1.7615176151761518, | |
| "eval_loss": 0.42150619626045227, | |
| "eval_runtime": 148.8948, | |
| "eval_samples_per_second": 37.987, | |
| "eval_steps_per_second": 4.748, | |
| "eval_wer": 0.32812825985781, | |
| "step": 9100 | |
| }, | |
| { | |
| "epoch": 1.7808749516066589, | |
| "eval_loss": 0.4176540672779083, | |
| "eval_runtime": 150.0504, | |
| "eval_samples_per_second": 37.694, | |
| "eval_steps_per_second": 4.712, | |
| "eval_wer": 0.3265876009051371, | |
| "step": 9200 | |
| }, | |
| { | |
| "epoch": 1.800232288037166, | |
| "eval_loss": 0.41875413060188293, | |
| "eval_runtime": 150.5043, | |
| "eval_samples_per_second": 37.58, | |
| "eval_steps_per_second": 4.698, | |
| "eval_wer": 0.32573702877501565, | |
| "step": 9300 | |
| }, | |
| { | |
| "epoch": 1.8195896244676733, | |
| "eval_loss": 0.41637665033340454, | |
| "eval_runtime": 150.1757, | |
| "eval_samples_per_second": 37.663, | |
| "eval_steps_per_second": 4.708, | |
| "eval_wer": 0.32469387427581003, | |
| "step": 9400 | |
| }, | |
| { | |
| "epoch": 1.8389469608981805, | |
| "grad_norm": 0.8558129668235779, | |
| "learning_rate": 1.6105263157894736e-05, | |
| "loss": 0.3687, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 1.8389469608981805, | |
| "eval_loss": 0.41629916429519653, | |
| "eval_runtime": 149.3775, | |
| "eval_samples_per_second": 37.864, | |
| "eval_steps_per_second": 4.733, | |
| "eval_wer": 0.3242766124761278, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 1.8583042973286876, | |
| "eval_loss": 0.4140332341194153, | |
| "eval_runtime": 149.5915, | |
| "eval_samples_per_second": 37.81, | |
| "eval_steps_per_second": 4.726, | |
| "eval_wer": 0.3238914477379596, | |
| "step": 9600 | |
| }, | |
| { | |
| "epoch": 1.8776616337591947, | |
| "eval_loss": 0.4132048189640045, | |
| "eval_runtime": 150.4642, | |
| "eval_samples_per_second": 37.59, | |
| "eval_steps_per_second": 4.699, | |
| "eval_wer": 0.324661777214296, | |
| "step": 9700 | |
| }, | |
| { | |
| "epoch": 1.897018970189702, | |
| "eval_loss": 0.4122065007686615, | |
| "eval_runtime": 150.0219, | |
| "eval_samples_per_second": 37.701, | |
| "eval_steps_per_second": 4.713, | |
| "eval_wer": 0.3223668373160437, | |
| "step": 9800 | |
| }, | |
| { | |
| "epoch": 1.916376306620209, | |
| "eval_loss": 0.41170838475227356, | |
| "eval_runtime": 149.8162, | |
| "eval_samples_per_second": 37.753, | |
| "eval_steps_per_second": 4.719, | |
| "eval_wer": 0.3218532843318194, | |
| "step": 9900 | |
| }, | |
| { | |
| "epoch": 1.9357336430507162, | |
| "grad_norm": 2.01002836227417, | |
| "learning_rate": 3.157894736842105e-07, | |
| "loss": 0.3707, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 1.9357336430507162, | |
| "eval_loss": 0.41177985072135925, | |
| "eval_runtime": 148.9604, | |
| "eval_samples_per_second": 37.97, | |
| "eval_steps_per_second": 4.746, | |
| "eval_wer": 0.32191747845484747, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 1.9357336430507162, | |
| "step": 10000, | |
| "total_flos": 1.1255918428180738e+19, | |
| "train_loss": 0.7339932418823242, | |
| "train_runtime": 18725.1494, | |
| "train_samples_per_second": 4.272, | |
| "train_steps_per_second": 0.534 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 10000, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "save_steps": 400, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.1255918428180738e+19, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |