| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 15.0, | |
| "eval_steps": 100, | |
| "global_step": 10605, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.14144271570014144, | |
| "eval_loss": 3.7426819801330566, | |
| "eval_runtime": 154.1912, | |
| "eval_samples_per_second": 36.682, | |
| "eval_steps_per_second": 4.585, | |
| "eval_wer": 1.0, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.2828854314002829, | |
| "eval_loss": 2.9179046154022217, | |
| "eval_runtime": 149.8513, | |
| "eval_samples_per_second": 37.744, | |
| "eval_steps_per_second": 4.718, | |
| "eval_wer": 1.0, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.4243281471004243, | |
| "eval_loss": 2.8035507202148438, | |
| "eval_runtime": 151.9434, | |
| "eval_samples_per_second": 37.224, | |
| "eval_steps_per_second": 4.653, | |
| "eval_wer": 1.0, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.5657708628005658, | |
| "eval_loss": 1.2195814847946167, | |
| "eval_runtime": 152.8075, | |
| "eval_samples_per_second": 37.014, | |
| "eval_steps_per_second": 4.627, | |
| "eval_wer": 0.8933627681528051, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.7072135785007072, | |
| "grad_norm": 2.533352851867676, | |
| "learning_rate": 0.00029699999999999996, | |
| "loss": 3.574, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.7072135785007072, | |
| "eval_loss": 0.9860211610794067, | |
| "eval_runtime": 151.7482, | |
| "eval_samples_per_second": 37.272, | |
| "eval_steps_per_second": 4.659, | |
| "eval_wer": 0.7276159395946313, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.8486562942008486, | |
| "eval_loss": 0.8391533493995667, | |
| "eval_runtime": 153.0126, | |
| "eval_samples_per_second": 36.964, | |
| "eval_steps_per_second": 4.621, | |
| "eval_wer": 0.6504295244037049, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.9900990099009901, | |
| "eval_loss": 0.7803803086280823, | |
| "eval_runtime": 152.7414, | |
| "eval_samples_per_second": 37.03, | |
| "eval_steps_per_second": 4.629, | |
| "eval_wer": 0.6029178864519844, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.1315417256011315, | |
| "eval_loss": 0.6122242212295532, | |
| "eval_runtime": 153.2031, | |
| "eval_samples_per_second": 36.918, | |
| "eval_steps_per_second": 4.615, | |
| "eval_wer": 0.4909056006142919, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.272984441301273, | |
| "eval_loss": 0.5901117920875549, | |
| "eval_runtime": 152.5961, | |
| "eval_samples_per_second": 37.065, | |
| "eval_steps_per_second": 4.633, | |
| "eval_wer": 0.48828206235702515, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.4144271570014144, | |
| "grad_norm": 0.9860969185829163, | |
| "learning_rate": 0.0002853043047996041, | |
| "loss": 0.811, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.4144271570014144, | |
| "eval_loss": 0.5500049591064453, | |
| "eval_runtime": 153.3918, | |
| "eval_samples_per_second": 36.873, | |
| "eval_steps_per_second": 4.609, | |
| "eval_wer": 0.45078466189950567, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.5558698727015559, | |
| "eval_loss": 0.5231846570968628, | |
| "eval_runtime": 151.7862, | |
| "eval_samples_per_second": 37.263, | |
| "eval_steps_per_second": 4.658, | |
| "eval_wer": 0.41418310377373585, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 1.6973125884016973, | |
| "eval_loss": 0.518621027469635, | |
| "eval_runtime": 152.9089, | |
| "eval_samples_per_second": 36.989, | |
| "eval_steps_per_second": 4.624, | |
| "eval_wer": 0.4064724608468909, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 1.8387553041018387, | |
| "eval_loss": 0.49534252285957336, | |
| "eval_runtime": 153.7928, | |
| "eval_samples_per_second": 36.777, | |
| "eval_steps_per_second": 4.597, | |
| "eval_wer": 0.3929388427636736, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 1.9801980198019802, | |
| "eval_loss": 0.48800522089004517, | |
| "eval_runtime": 152.9541, | |
| "eval_samples_per_second": 36.978, | |
| "eval_steps_per_second": 4.622, | |
| "eval_wer": 0.39279486810321385, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 2.1216407355021216, | |
| "grad_norm": 0.8855465650558472, | |
| "learning_rate": 0.00027054923305294405, | |
| "loss": 0.6459, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.1216407355021216, | |
| "eval_loss": 0.46446114778518677, | |
| "eval_runtime": 152.609, | |
| "eval_samples_per_second": 37.062, | |
| "eval_steps_per_second": 4.633, | |
| "eval_wer": 0.3691990209723089, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.263083451202263, | |
| "eval_loss": 0.4666256904602051, | |
| "eval_runtime": 153.127, | |
| "eval_samples_per_second": 36.937, | |
| "eval_steps_per_second": 4.617, | |
| "eval_wer": 0.3585928876517733, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 2.4045261669024045, | |
| "eval_loss": 0.45017901062965393, | |
| "eval_runtime": 154.5149, | |
| "eval_samples_per_second": 36.605, | |
| "eval_steps_per_second": 4.576, | |
| "eval_wer": 0.35934475532306315, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 2.545968882602546, | |
| "eval_loss": 0.45280084013938904, | |
| "eval_runtime": 152.9066, | |
| "eval_samples_per_second": 36.99, | |
| "eval_steps_per_second": 4.624, | |
| "eval_wer": 0.3637759754283246, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 2.6874115983026874, | |
| "eval_loss": 0.46647289395332336, | |
| "eval_runtime": 153.103, | |
| "eval_samples_per_second": 36.942, | |
| "eval_steps_per_second": 4.618, | |
| "eval_wer": 0.392618899073763, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 2.828854314002829, | |
| "grad_norm": 0.6227492690086365, | |
| "learning_rate": 0.00025579416130628403, | |
| "loss": 0.5306, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 2.828854314002829, | |
| "eval_loss": 0.4328605532646179, | |
| "eval_runtime": 153.5492, | |
| "eval_samples_per_second": 36.835, | |
| "eval_steps_per_second": 4.604, | |
| "eval_wer": 0.3505143094815312, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 2.9702970297029703, | |
| "eval_loss": 0.4245360791683197, | |
| "eval_runtime": 153.9467, | |
| "eval_samples_per_second": 36.74, | |
| "eval_steps_per_second": 4.592, | |
| "eval_wer": 0.3373806210107021, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 3.1117397454031117, | |
| "eval_loss": 0.4376748204231262, | |
| "eval_runtime": 152.9335, | |
| "eval_samples_per_second": 36.983, | |
| "eval_steps_per_second": 4.623, | |
| "eval_wer": 0.3340372094511366, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 3.253182461103253, | |
| "eval_loss": 0.4271674156188965, | |
| "eval_runtime": 153.1738, | |
| "eval_samples_per_second": 36.925, | |
| "eval_steps_per_second": 4.616, | |
| "eval_wer": 0.33373326294572153, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 3.3946251768033946, | |
| "eval_loss": 0.43350949883461, | |
| "eval_runtime": 153.2683, | |
| "eval_samples_per_second": 36.903, | |
| "eval_steps_per_second": 4.613, | |
| "eval_wer": 0.332597462846539, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 3.536067892503536, | |
| "grad_norm": 0.6211841106414795, | |
| "learning_rate": 0.0002410094012864918, | |
| "loss": 0.4628, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 3.536067892503536, | |
| "eval_loss": 0.42679545283317566, | |
| "eval_runtime": 154.4777, | |
| "eval_samples_per_second": 36.614, | |
| "eval_steps_per_second": 4.577, | |
| "eval_wer": 0.3274783638079698, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 3.6775106082036775, | |
| "eval_loss": 0.4502430558204651, | |
| "eval_runtime": 154.6864, | |
| "eval_samples_per_second": 36.564, | |
| "eval_steps_per_second": 4.571, | |
| "eval_wer": 0.34091599878421397, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 3.818953323903819, | |
| "eval_loss": 0.6344878673553467, | |
| "eval_runtime": 153.1131, | |
| "eval_samples_per_second": 36.94, | |
| "eval_steps_per_second": 4.618, | |
| "eval_wer": 0.43904272847978754, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 3.9603960396039604, | |
| "eval_loss": 1.0202795267105103, | |
| "eval_runtime": 153.5324, | |
| "eval_samples_per_second": 36.839, | |
| "eval_steps_per_second": 4.605, | |
| "eval_wer": 0.6403193038025308, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 4.101838755304102, | |
| "eval_loss": 1.2207801342010498, | |
| "eval_runtime": 154.3697, | |
| "eval_samples_per_second": 36.639, | |
| "eval_steps_per_second": 4.58, | |
| "eval_wer": 0.7921805762185855, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 4.243281471004243, | |
| "grad_norm": 2.4671809673309326, | |
| "learning_rate": 0.00022619495299356753, | |
| "loss": 0.8685, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 4.243281471004243, | |
| "eval_loss": 1.101838231086731, | |
| "eval_runtime": 155.2474, | |
| "eval_samples_per_second": 36.432, | |
| "eval_steps_per_second": 4.554, | |
| "eval_wer": 0.7387019884500328, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 4.384724186704385, | |
| "eval_loss": 1.24972665309906, | |
| "eval_runtime": 154.4564, | |
| "eval_samples_per_second": 36.619, | |
| "eval_steps_per_second": 4.577, | |
| "eval_wer": 0.8061941098366687, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 4.526166902404526, | |
| "eval_loss": 1.6164859533309937, | |
| "eval_runtime": 153.9159, | |
| "eval_samples_per_second": 36.747, | |
| "eval_steps_per_second": 4.593, | |
| "eval_wer": 0.9616227543952265, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 4.667609618104668, | |
| "eval_loss": 1.4655081033706665, | |
| "eval_runtime": 153.645, | |
| "eval_samples_per_second": 36.812, | |
| "eval_steps_per_second": 4.602, | |
| "eval_wer": 0.9216617875253955, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 4.809052333804809, | |
| "eval_loss": 1.0288450717926025, | |
| "eval_runtime": 152.6496, | |
| "eval_samples_per_second": 37.052, | |
| "eval_steps_per_second": 4.632, | |
| "eval_wer": 0.7464606229303643, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 4.9504950495049505, | |
| "grad_norm": 2.009023666381836, | |
| "learning_rate": 0.00021143988124690746, | |
| "loss": 1.3918, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 4.9504950495049505, | |
| "eval_loss": 0.9067263603210449, | |
| "eval_runtime": 156.1428, | |
| "eval_samples_per_second": 36.223, | |
| "eval_steps_per_second": 4.528, | |
| "eval_wer": 0.5948393082817424, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 5.091937765205092, | |
| "eval_loss": 0.9486163258552551, | |
| "eval_runtime": 154.3538, | |
| "eval_samples_per_second": 36.643, | |
| "eval_steps_per_second": 4.58, | |
| "eval_wer": 0.6352801906864392, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 5.233380480905233, | |
| "eval_loss": 0.8674383163452148, | |
| "eval_runtime": 155.8543, | |
| "eval_samples_per_second": 36.29, | |
| "eval_steps_per_second": 4.536, | |
| "eval_wer": 0.5428324614867783, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 5.374823196605375, | |
| "eval_loss": 0.9402504563331604, | |
| "eval_runtime": 154.1915, | |
| "eval_samples_per_second": 36.682, | |
| "eval_steps_per_second": 4.585, | |
| "eval_wer": 0.5792900449520885, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 5.516265912305516, | |
| "eval_loss": 0.948098361492157, | |
| "eval_runtime": 159.4305, | |
| "eval_samples_per_second": 35.476, | |
| "eval_steps_per_second": 4.435, | |
| "eval_wer": 0.5763625601894067, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 5.657708628005658, | |
| "grad_norm": 1.2370288372039795, | |
| "learning_rate": 0.0001966848095002474, | |
| "loss": 1.0402, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 5.657708628005658, | |
| "eval_loss": 1.0175639390945435, | |
| "eval_runtime": 154.2179, | |
| "eval_samples_per_second": 36.675, | |
| "eval_steps_per_second": 4.584, | |
| "eval_wer": 0.8256946777367183, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 5.799151343705799, | |
| "eval_loss": 0.9857003092765808, | |
| "eval_runtime": 154.4099, | |
| "eval_samples_per_second": 36.63, | |
| "eval_steps_per_second": 4.579, | |
| "eval_wer": 0.6342883652477164, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 5.9405940594059405, | |
| "eval_loss": 1.3289028406143188, | |
| "eval_runtime": 155.7394, | |
| "eval_samples_per_second": 36.317, | |
| "eval_steps_per_second": 4.54, | |
| "eval_wer": 0.9014093519540561, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 6.082036775106082, | |
| "eval_loss": 2.0890820026397705, | |
| "eval_runtime": 154.2749, | |
| "eval_samples_per_second": 36.662, | |
| "eval_steps_per_second": 4.583, | |
| "eval_wer": 0.7125305946153477, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 6.223479490806223, | |
| "eval_loss": 1.256324291229248, | |
| "eval_runtime": 154.5375, | |
| "eval_samples_per_second": 36.6, | |
| "eval_steps_per_second": 4.575, | |
| "eval_wer": 0.7696085488953944, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 6.364922206506365, | |
| "grad_norm": 0.9906980395317078, | |
| "learning_rate": 0.0001819000494804552, | |
| "loss": 1.2886, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 6.364922206506365, | |
| "eval_loss": 1.1441457271575928, | |
| "eval_runtime": 155.0449, | |
| "eval_samples_per_second": 36.48, | |
| "eval_steps_per_second": 4.56, | |
| "eval_wer": 0.692726080209883, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 6.506364922206506, | |
| "eval_loss": 1.0626095533370972, | |
| "eval_runtime": 155.5445, | |
| "eval_samples_per_second": 36.363, | |
| "eval_steps_per_second": 4.545, | |
| "eval_wer": 0.6573083137367823, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 6.647807637906648, | |
| "eval_loss": 0.9997339248657227, | |
| "eval_runtime": 155.8362, | |
| "eval_samples_per_second": 36.295, | |
| "eval_steps_per_second": 4.537, | |
| "eval_wer": 0.6422869574954808, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 6.789250353606789, | |
| "eval_loss": 0.9813728928565979, | |
| "eval_runtime": 155.2999, | |
| "eval_samples_per_second": 36.42, | |
| "eval_steps_per_second": 4.552, | |
| "eval_wer": 0.6380317064196701, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 6.930693069306931, | |
| "eval_loss": 1.0955251455307007, | |
| "eval_runtime": 153.746, | |
| "eval_samples_per_second": 36.788, | |
| "eval_steps_per_second": 4.598, | |
| "eval_wer": 0.7651133400521508, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 7.072135785007072, | |
| "grad_norm": 1.6002442836761475, | |
| "learning_rate": 0.00016708560118753091, | |
| "loss": 1.0984, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 7.072135785007072, | |
| "eval_loss": 0.9212619066238403, | |
| "eval_runtime": 155.7654, | |
| "eval_samples_per_second": 36.311, | |
| "eval_steps_per_second": 4.539, | |
| "eval_wer": 0.5882964598230711, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 7.2135785007072135, | |
| "eval_loss": 0.8884870409965515, | |
| "eval_runtime": 153.6804, | |
| "eval_samples_per_second": 36.804, | |
| "eval_steps_per_second": 4.6, | |
| "eval_wer": 0.5932715842011806, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 7.355021216407355, | |
| "eval_loss": 0.900116503238678, | |
| "eval_runtime": 155.054, | |
| "eval_samples_per_second": 36.478, | |
| "eval_steps_per_second": 4.56, | |
| "eval_wer": 0.5898641839036329, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 7.496463932107496, | |
| "eval_loss": 0.8783684372901917, | |
| "eval_runtime": 156.2294, | |
| "eval_samples_per_second": 36.203, | |
| "eval_steps_per_second": 4.525, | |
| "eval_wer": 0.5858968821487418, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 7.637906647807638, | |
| "eval_loss": 0.9072028398513794, | |
| "eval_runtime": 154.0671, | |
| "eval_samples_per_second": 36.711, | |
| "eval_steps_per_second": 4.589, | |
| "eval_wer": 0.5897522036121643, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 7.779349363507779, | |
| "grad_norm": 1.3490877151489258, | |
| "learning_rate": 0.00015230084116773872, | |
| "loss": 0.9659, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 7.779349363507779, | |
| "eval_loss": 0.8811922669410706, | |
| "eval_runtime": 153.8934, | |
| "eval_samples_per_second": 36.753, | |
| "eval_steps_per_second": 4.594, | |
| "eval_wer": 0.5841051974852426, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 7.920792079207921, | |
| "eval_loss": 0.891165018081665, | |
| "eval_runtime": 153.7325, | |
| "eval_samples_per_second": 36.791, | |
| "eval_steps_per_second": 4.599, | |
| "eval_wer": 0.5855129497208491, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 8.062234794908063, | |
| "eval_loss": 0.8815582990646362, | |
| "eval_runtime": 154.6799, | |
| "eval_samples_per_second": 36.566, | |
| "eval_steps_per_second": 4.571, | |
| "eval_wer": 0.5807137943721905, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 8.203677510608204, | |
| "eval_loss": 0.891440749168396, | |
| "eval_runtime": 155.4972, | |
| "eval_samples_per_second": 36.374, | |
| "eval_steps_per_second": 4.547, | |
| "eval_wer": 0.5803138647598023, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 8.345120226308346, | |
| "eval_loss": 0.8956438899040222, | |
| "eval_runtime": 154.6865, | |
| "eval_samples_per_second": 36.564, | |
| "eval_steps_per_second": 4.571, | |
| "eval_wer": 0.5810337380621011, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 8.486562942008486, | |
| "grad_norm": 1.257432460784912, | |
| "learning_rate": 0.00013754576942107867, | |
| "loss": 0.9679, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 8.486562942008486, | |
| "eval_loss": 0.9162164330482483, | |
| "eval_runtime": 155.1949, | |
| "eval_samples_per_second": 36.444, | |
| "eval_steps_per_second": 4.556, | |
| "eval_wer": 0.5780262673769416, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 8.628005657708629, | |
| "eval_loss": 0.9409377574920654, | |
| "eval_runtime": 154.6732, | |
| "eval_samples_per_second": 36.567, | |
| "eval_steps_per_second": 4.571, | |
| "eval_wer": 0.5810177408776055, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 8.76944837340877, | |
| "eval_loss": 0.9370973706245422, | |
| "eval_runtime": 155.5326, | |
| "eval_samples_per_second": 36.365, | |
| "eval_steps_per_second": 4.546, | |
| "eval_wer": 0.5780742589304283, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 8.910891089108912, | |
| "eval_loss": 0.941677987575531, | |
| "eval_runtime": 155.4822, | |
| "eval_samples_per_second": 36.377, | |
| "eval_steps_per_second": 4.547, | |
| "eval_wer": 0.5790020956311689, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 9.052333804809052, | |
| "eval_loss": 0.9663541913032532, | |
| "eval_runtime": 155.844, | |
| "eval_samples_per_second": 36.293, | |
| "eval_steps_per_second": 4.537, | |
| "eval_wer": 0.5783782054358433, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 9.193776520509195, | |
| "grad_norm": 1.5867938995361328, | |
| "learning_rate": 0.00012273132112815437, | |
| "loss": 1.0241, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 9.193776520509195, | |
| "eval_loss": 0.9720383286476135, | |
| "eval_runtime": 155.604, | |
| "eval_samples_per_second": 36.349, | |
| "eval_steps_per_second": 4.544, | |
| "eval_wer": 0.5775143574730848, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 9.335219236209335, | |
| "eval_loss": 0.9840742349624634, | |
| "eval_runtime": 155.8175, | |
| "eval_samples_per_second": 36.299, | |
| "eval_steps_per_second": 4.537, | |
| "eval_wer": 0.5783942026203388, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 9.476661951909477, | |
| "eval_loss": 0.9574136137962341, | |
| "eval_runtime": 155.2609, | |
| "eval_samples_per_second": 36.429, | |
| "eval_steps_per_second": 4.554, | |
| "eval_wer": 0.5886803922509638, | |
| "step": 6700 | |
| }, | |
| { | |
| "epoch": 9.618104667609618, | |
| "eval_loss": 1.0725222826004028, | |
| "eval_runtime": 154.2708, | |
| "eval_samples_per_second": 36.663, | |
| "eval_steps_per_second": 4.583, | |
| "eval_wer": 0.606837196653389, | |
| "step": 6800 | |
| }, | |
| { | |
| "epoch": 9.75954738330976, | |
| "eval_loss": 1.0362112522125244, | |
| "eval_runtime": 155.3381, | |
| "eval_samples_per_second": 36.411, | |
| "eval_steps_per_second": 4.551, | |
| "eval_wer": 0.5999584073203116, | |
| "step": 6900 | |
| }, | |
| { | |
| "epoch": 9.900990099009901, | |
| "grad_norm": 0.6058325171470642, | |
| "learning_rate": 0.00010794656110836219, | |
| "loss": 1.0797, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 9.900990099009901, | |
| "eval_loss": 1.0116764307022095, | |
| "eval_runtime": 155.5442, | |
| "eval_samples_per_second": 36.363, | |
| "eval_steps_per_second": 4.545, | |
| "eval_wer": 0.5914319079841948, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 10.042432814710043, | |
| "eval_loss": 0.9563263058662415, | |
| "eval_runtime": 155.5047, | |
| "eval_samples_per_second": 36.372, | |
| "eval_steps_per_second": 4.546, | |
| "eval_wer": 0.6058293740301707, | |
| "step": 7100 | |
| }, | |
| { | |
| "epoch": 10.183875530410184, | |
| "eval_loss": 0.9663692116737366, | |
| "eval_runtime": 155.3578, | |
| "eval_samples_per_second": 36.406, | |
| "eval_steps_per_second": 4.551, | |
| "eval_wer": 0.5978307817824063, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 10.325318246110326, | |
| "eval_loss": 1.0209406614303589, | |
| "eval_runtime": 155.4685, | |
| "eval_samples_per_second": 36.38, | |
| "eval_steps_per_second": 4.548, | |
| "eval_wer": 0.6022140103341812, | |
| "step": 7300 | |
| }, | |
| { | |
| "epoch": 10.466760961810467, | |
| "eval_loss": 0.9848981499671936, | |
| "eval_runtime": 156.2008, | |
| "eval_samples_per_second": 36.21, | |
| "eval_steps_per_second": 4.526, | |
| "eval_wer": 0.5974788437235047, | |
| "step": 7400 | |
| }, | |
| { | |
| "epoch": 10.608203677510609, | |
| "grad_norm": 0.0, | |
| "learning_rate": 9.319148936170212e-05, | |
| "loss": 1.0701, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 10.608203677510609, | |
| "eval_loss": 0.9718888401985168, | |
| "eval_runtime": 156.5494, | |
| "eval_samples_per_second": 36.129, | |
| "eval_steps_per_second": 4.516, | |
| "eval_wer": 0.6057013965542064, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 10.74964639321075, | |
| "eval_loss": 0.966968834400177, | |
| "eval_runtime": 155.045, | |
| "eval_samples_per_second": 36.48, | |
| "eval_steps_per_second": 4.56, | |
| "eval_wer": 0.6122602421973733, | |
| "step": 7600 | |
| }, | |
| { | |
| "epoch": 10.891089108910892, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 156.2212, | |
| "eval_samples_per_second": 36.205, | |
| "eval_steps_per_second": 4.526, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 7700 | |
| }, | |
| { | |
| "epoch": 11.032531824611032, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 156.7045, | |
| "eval_samples_per_second": 36.093, | |
| "eval_steps_per_second": 4.512, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 11.173974540311175, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 156.3156, | |
| "eval_samples_per_second": 36.183, | |
| "eval_steps_per_second": 4.523, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 7900 | |
| }, | |
| { | |
| "epoch": 11.315417256011315, | |
| "grad_norm": 0.0, | |
| "learning_rate": 7.843641761504205e-05, | |
| "loss": 1.0518, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 11.315417256011315, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 156.4393, | |
| "eval_samples_per_second": 36.155, | |
| "eval_steps_per_second": 4.519, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 11.456859971711458, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.12, | |
| "eval_samples_per_second": 36.462, | |
| "eval_steps_per_second": 4.558, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 8100 | |
| }, | |
| { | |
| "epoch": 11.598302687411598, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.4065, | |
| "eval_samples_per_second": 36.395, | |
| "eval_steps_per_second": 4.549, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 8200 | |
| }, | |
| { | |
| "epoch": 11.73974540311174, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 154.2056, | |
| "eval_samples_per_second": 36.678, | |
| "eval_steps_per_second": 4.585, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 8300 | |
| }, | |
| { | |
| "epoch": 11.881188118811881, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.9204, | |
| "eval_samples_per_second": 36.275, | |
| "eval_steps_per_second": 4.534, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 8400 | |
| }, | |
| { | |
| "epoch": 12.022630834512023, | |
| "grad_norm": 0.0, | |
| "learning_rate": 6.362196932211776e-05, | |
| "loss": 1.0594, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 12.022630834512023, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 154.4966, | |
| "eval_samples_per_second": 36.609, | |
| "eval_steps_per_second": 4.576, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 12.164073550212164, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 154.0012, | |
| "eval_samples_per_second": 36.727, | |
| "eval_steps_per_second": 4.591, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 8600 | |
| }, | |
| { | |
| "epoch": 12.305516265912306, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.297, | |
| "eval_samples_per_second": 36.421, | |
| "eval_steps_per_second": 4.553, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 8700 | |
| }, | |
| { | |
| "epoch": 12.446958981612447, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 156.7077, | |
| "eval_samples_per_second": 36.093, | |
| "eval_steps_per_second": 4.512, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 8800 | |
| }, | |
| { | |
| "epoch": 12.58840169731259, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.8279, | |
| "eval_samples_per_second": 36.296, | |
| "eval_steps_per_second": 4.537, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 8900 | |
| }, | |
| { | |
| "epoch": 12.72984441301273, | |
| "grad_norm": 0.0, | |
| "learning_rate": 4.8866897575457694e-05, | |
| "loss": 1.0584, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 12.72984441301273, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.3599, | |
| "eval_samples_per_second": 36.406, | |
| "eval_steps_per_second": 4.551, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 12.871287128712872, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.3076, | |
| "eval_samples_per_second": 36.418, | |
| "eval_steps_per_second": 4.552, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 9100 | |
| }, | |
| { | |
| "epoch": 13.012729844413013, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.448, | |
| "eval_samples_per_second": 36.385, | |
| "eval_steps_per_second": 4.548, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 9200 | |
| }, | |
| { | |
| "epoch": 13.154172560113155, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.6022, | |
| "eval_samples_per_second": 36.349, | |
| "eval_steps_per_second": 4.544, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 9300 | |
| }, | |
| { | |
| "epoch": 13.295615275813295, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 154.7567, | |
| "eval_samples_per_second": 36.548, | |
| "eval_steps_per_second": 4.568, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 9400 | |
| }, | |
| { | |
| "epoch": 13.437057991513438, | |
| "grad_norm": 0.0, | |
| "learning_rate": 3.408213755566551e-05, | |
| "loss": 1.0556, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 13.437057991513438, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 154.3187, | |
| "eval_samples_per_second": 36.651, | |
| "eval_steps_per_second": 4.581, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 13.578500707213578, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.5249, | |
| "eval_samples_per_second": 36.367, | |
| "eval_steps_per_second": 4.546, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 9600 | |
| }, | |
| { | |
| "epoch": 13.71994342291372, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.212, | |
| "eval_samples_per_second": 36.44, | |
| "eval_steps_per_second": 4.555, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 9700 | |
| }, | |
| { | |
| "epoch": 13.861386138613861, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 154.6321, | |
| "eval_samples_per_second": 36.577, | |
| "eval_steps_per_second": 4.572, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 9800 | |
| }, | |
| { | |
| "epoch": 14.002828854314004, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.2988, | |
| "eval_samples_per_second": 36.42, | |
| "eval_steps_per_second": 4.553, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 9900 | |
| }, | |
| { | |
| "epoch": 14.144271570014144, | |
| "grad_norm": 0.0, | |
| "learning_rate": 1.9297377535873327e-05, | |
| "loss": 1.0511, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 14.144271570014144, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.9222, | |
| "eval_samples_per_second": 36.274, | |
| "eval_steps_per_second": 4.534, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 14.285714285714286, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 156.6698, | |
| "eval_samples_per_second": 36.101, | |
| "eval_steps_per_second": 4.513, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 10100 | |
| }, | |
| { | |
| "epoch": 14.427157001414427, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.8474, | |
| "eval_samples_per_second": 36.292, | |
| "eval_steps_per_second": 4.536, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 10200 | |
| }, | |
| { | |
| "epoch": 14.56859971711457, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 154.9914, | |
| "eval_samples_per_second": 36.492, | |
| "eval_steps_per_second": 4.562, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 10300 | |
| }, | |
| { | |
| "epoch": 14.71004243281471, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 155.7638, | |
| "eval_samples_per_second": 36.311, | |
| "eval_steps_per_second": 4.539, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 10400 | |
| }, | |
| { | |
| "epoch": 14.851485148514852, | |
| "grad_norm": 0.0, | |
| "learning_rate": 4.512617516081148e-06, | |
| "loss": 1.0585, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 14.851485148514852, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 154.954, | |
| "eval_samples_per_second": 36.501, | |
| "eval_steps_per_second": 4.563, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 14.992927864214993, | |
| "eval_loss": 0.9668737053871155, | |
| "eval_runtime": 154.7299, | |
| "eval_samples_per_second": 36.554, | |
| "eval_steps_per_second": 4.569, | |
| "eval_wer": 0.6124682055958152, | |
| "step": 10600 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "step": 10605, | |
| "total_flos": 4.036432448909298e+19, | |
| "train_loss": 1.1022147617942597, | |
| "train_runtime": 28048.236, | |
| "train_samples_per_second": 12.098, | |
| "train_steps_per_second": 0.378 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 10605, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 15, | |
| "save_steps": 400, | |
| "total_flos": 4.036432448909298e+19, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |