| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 15.0, | |
| "global_step": 6525, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.23, | |
| "eval_loss": 3.629563570022583, | |
| "eval_runtime": 72.0137, | |
| "eval_samples_per_second": 22.871, | |
| "eval_steps_per_second": 2.861, | |
| "eval_wer": 1.0, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "eval_loss": 3.158773899078369, | |
| "eval_runtime": 70.3627, | |
| "eval_samples_per_second": 23.407, | |
| "eval_steps_per_second": 2.928, | |
| "eval_wer": 0.9998978653865795, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "eval_loss": 2.3110687732696533, | |
| "eval_runtime": 70.6406, | |
| "eval_samples_per_second": 23.315, | |
| "eval_steps_per_second": 2.916, | |
| "eval_wer": 1.0082729036870595, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "eval_loss": 0.9851930141448975, | |
| "eval_runtime": 70.8686, | |
| "eval_samples_per_second": 23.24, | |
| "eval_steps_per_second": 2.907, | |
| "eval_wer": 0.7980798692676948, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "learning_rate": 0.0002988, | |
| "loss": 3.6643, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "eval_loss": 0.7055537104606628, | |
| "eval_runtime": 71.6734, | |
| "eval_samples_per_second": 22.979, | |
| "eval_steps_per_second": 2.874, | |
| "eval_wer": 0.7362884281482994, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "eval_loss": 0.6146486401557922, | |
| "eval_runtime": 71.5696, | |
| "eval_samples_per_second": 23.013, | |
| "eval_steps_per_second": 2.878, | |
| "eval_wer": 0.6287406802165254, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.61, | |
| "eval_loss": 0.5582674741744995, | |
| "eval_runtime": 71.6454, | |
| "eval_samples_per_second": 22.988, | |
| "eval_steps_per_second": 2.875, | |
| "eval_wer": 0.6195485650086815, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.84, | |
| "eval_loss": 0.5528766512870789, | |
| "eval_runtime": 71.319, | |
| "eval_samples_per_second": 23.093, | |
| "eval_steps_per_second": 2.888, | |
| "eval_wer": 0.5677663160044939, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "eval_loss": 0.5279656052589417, | |
| "eval_runtime": 71.9775, | |
| "eval_samples_per_second": 22.882, | |
| "eval_steps_per_second": 2.862, | |
| "eval_wer": 0.5373302012051885, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 2.3, | |
| "learning_rate": 0.00027520331950207466, | |
| "loss": 0.5896, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 2.3, | |
| "eval_loss": 0.5253266096115112, | |
| "eval_runtime": 72.6484, | |
| "eval_samples_per_second": 22.671, | |
| "eval_steps_per_second": 2.836, | |
| "eval_wer": 0.5348789704830967, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "eval_loss": 0.4802704155445099, | |
| "eval_runtime": 71.3938, | |
| "eval_samples_per_second": 23.069, | |
| "eval_steps_per_second": 2.885, | |
| "eval_wer": 0.5056684710448371, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 2.76, | |
| "eval_loss": 0.4561997056007385, | |
| "eval_runtime": 71.654, | |
| "eval_samples_per_second": 22.985, | |
| "eval_steps_per_second": 2.875, | |
| "eval_wer": 0.5132264324379532, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "eval_loss": 0.42518743872642517, | |
| "eval_runtime": 72.1751, | |
| "eval_samples_per_second": 22.82, | |
| "eval_steps_per_second": 2.854, | |
| "eval_wer": 0.4872842406291492, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "eval_loss": 0.4428342878818512, | |
| "eval_runtime": 71.8698, | |
| "eval_samples_per_second": 22.916, | |
| "eval_steps_per_second": 2.866, | |
| "eval_wer": 0.4830967214789092, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 3.45, | |
| "learning_rate": 0.0002503070539419087, | |
| "loss": 0.368, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 3.45, | |
| "eval_loss": 0.4509741961956024, | |
| "eval_runtime": 72.2303, | |
| "eval_samples_per_second": 22.802, | |
| "eval_steps_per_second": 2.852, | |
| "eval_wer": 0.4778878561944643, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 3.68, | |
| "eval_loss": 0.44042012095451355, | |
| "eval_runtime": 72.6999, | |
| "eval_samples_per_second": 22.655, | |
| "eval_steps_per_second": 2.834, | |
| "eval_wer": 0.4946379327954244, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "eval_loss": 0.43302613496780396, | |
| "eval_runtime": 72.0106, | |
| "eval_samples_per_second": 22.872, | |
| "eval_steps_per_second": 2.861, | |
| "eval_wer": 0.47850066387498724, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 4.14, | |
| "eval_loss": 0.4357718229293823, | |
| "eval_runtime": 71.8959, | |
| "eval_samples_per_second": 22.908, | |
| "eval_steps_per_second": 2.865, | |
| "eval_wer": 0.45582677969563884, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 4.37, | |
| "eval_loss": 0.41258642077445984, | |
| "eval_runtime": 72.242, | |
| "eval_samples_per_second": 22.798, | |
| "eval_steps_per_second": 2.852, | |
| "eval_wer": 0.4643039526095394, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 4.6, | |
| "learning_rate": 0.00022541078838174273, | |
| "loss": 0.2629, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 4.6, | |
| "eval_loss": 0.4196760654449463, | |
| "eval_runtime": 71.8725, | |
| "eval_samples_per_second": 22.916, | |
| "eval_steps_per_second": 2.866, | |
| "eval_wer": 0.4528648759064447, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 4.83, | |
| "eval_loss": 0.4063510298728943, | |
| "eval_runtime": 72.3443, | |
| "eval_samples_per_second": 22.766, | |
| "eval_steps_per_second": 2.847, | |
| "eval_wer": 0.44091512613624756, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 5.06, | |
| "eval_loss": 0.4285483658313751, | |
| "eval_runtime": 72.2808, | |
| "eval_samples_per_second": 22.786, | |
| "eval_steps_per_second": 2.85, | |
| "eval_wer": 0.45143499131855785, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 5.29, | |
| "eval_loss": 0.41930803656578064, | |
| "eval_runtime": 72.0969, | |
| "eval_samples_per_second": 22.844, | |
| "eval_steps_per_second": 2.857, | |
| "eval_wer": 0.4203860688387294, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 5.52, | |
| "eval_loss": 0.4301486909389496, | |
| "eval_runtime": 72.1535, | |
| "eval_samples_per_second": 22.826, | |
| "eval_steps_per_second": 2.855, | |
| "eval_wer": 0.4219180880400368, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 5.75, | |
| "learning_rate": 0.00020051452282157675, | |
| "loss": 0.2072, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 5.75, | |
| "eval_loss": 0.4222012758255005, | |
| "eval_runtime": 71.9455, | |
| "eval_samples_per_second": 22.892, | |
| "eval_steps_per_second": 2.863, | |
| "eval_wer": 0.4334592993565519, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 5.98, | |
| "eval_loss": 0.4076746702194214, | |
| "eval_runtime": 71.6876, | |
| "eval_samples_per_second": 22.975, | |
| "eval_steps_per_second": 2.874, | |
| "eval_wer": 0.42314370340108265, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 6.21, | |
| "eval_loss": 0.4132108688354492, | |
| "eval_runtime": 71.6712, | |
| "eval_samples_per_second": 22.98, | |
| "eval_steps_per_second": 2.874, | |
| "eval_wer": 0.4121131651516699, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 6.44, | |
| "eval_loss": 0.4112888276576996, | |
| "eval_runtime": 71.9406, | |
| "eval_samples_per_second": 22.894, | |
| "eval_steps_per_second": 2.863, | |
| "eval_wer": 0.42202022265345723, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 6.67, | |
| "eval_loss": 0.41012728214263916, | |
| "eval_runtime": 71.6608, | |
| "eval_samples_per_second": 22.983, | |
| "eval_steps_per_second": 2.875, | |
| "eval_wer": 0.4175262996629558, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 6.9, | |
| "learning_rate": 0.0001756182572614108, | |
| "loss": 0.1731, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 6.9, | |
| "eval_loss": 0.42397525906562805, | |
| "eval_runtime": 71.8112, | |
| "eval_samples_per_second": 22.935, | |
| "eval_steps_per_second": 2.869, | |
| "eval_wer": 0.4122152997650904, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 7.13, | |
| "eval_loss": 0.43093591928482056, | |
| "eval_runtime": 71.844, | |
| "eval_samples_per_second": 22.925, | |
| "eval_steps_per_second": 2.867, | |
| "eval_wer": 0.40230824226330303, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 7.36, | |
| "eval_loss": 0.4274670481681824, | |
| "eval_runtime": 71.3955, | |
| "eval_samples_per_second": 23.069, | |
| "eval_steps_per_second": 2.885, | |
| "eval_wer": 0.3987335307935859, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 7.59, | |
| "eval_loss": 0.42890244722366333, | |
| "eval_runtime": 71.437, | |
| "eval_samples_per_second": 23.055, | |
| "eval_steps_per_second": 2.884, | |
| "eval_wer": 0.4062914921867021, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 7.82, | |
| "eval_loss": 0.4181130528450012, | |
| "eval_runtime": 71.7843, | |
| "eval_samples_per_second": 22.944, | |
| "eval_steps_per_second": 2.87, | |
| "eval_wer": 0.402512511490144, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 8.05, | |
| "learning_rate": 0.00015077178423236512, | |
| "loss": 0.1397, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 8.05, | |
| "eval_loss": 0.4489935040473938, | |
| "eval_runtime": 71.3608, | |
| "eval_samples_per_second": 23.08, | |
| "eval_steps_per_second": 2.887, | |
| "eval_wer": 0.3885200694515371, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 8.28, | |
| "eval_loss": 0.419808954000473, | |
| "eval_runtime": 70.9991, | |
| "eval_samples_per_second": 23.197, | |
| "eval_steps_per_second": 2.901, | |
| "eval_wer": 0.3871923194770708, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 8.51, | |
| "eval_loss": 0.3980425298213959, | |
| "eval_runtime": 70.9302, | |
| "eval_samples_per_second": 23.22, | |
| "eval_steps_per_second": 2.904, | |
| "eval_wer": 0.38423041568787664, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 8.74, | |
| "eval_loss": 0.4051460921764374, | |
| "eval_runtime": 71.3919, | |
| "eval_samples_per_second": 23.07, | |
| "eval_steps_per_second": 2.885, | |
| "eval_wer": 0.3876008579307527, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 8.97, | |
| "eval_loss": 0.4080096185207367, | |
| "eval_runtime": 71.5572, | |
| "eval_samples_per_second": 23.017, | |
| "eval_steps_per_second": 2.879, | |
| "eval_wer": 0.3911755694004698, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 9.2, | |
| "learning_rate": 0.00012587551867219917, | |
| "loss": 0.1224, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 9.2, | |
| "eval_loss": 0.41799476742744446, | |
| "eval_runtime": 71.2885, | |
| "eval_samples_per_second": 23.103, | |
| "eval_steps_per_second": 2.89, | |
| "eval_wer": 0.3773873965887039, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 9.43, | |
| "eval_loss": 0.4101611077785492, | |
| "eval_runtime": 71.7369, | |
| "eval_samples_per_second": 22.959, | |
| "eval_steps_per_second": 2.872, | |
| "eval_wer": 0.38198345419262586, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 9.66, | |
| "eval_loss": 0.3977714776992798, | |
| "eval_runtime": 71.6699, | |
| "eval_samples_per_second": 22.98, | |
| "eval_steps_per_second": 2.874, | |
| "eval_wer": 0.38800939638443466, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 9.89, | |
| "eval_loss": 0.415744423866272, | |
| "eval_runtime": 71.3403, | |
| "eval_samples_per_second": 23.087, | |
| "eval_steps_per_second": 2.888, | |
| "eval_wer": 0.37309774282504343, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 10.11, | |
| "eval_loss": 0.4174509644508362, | |
| "eval_runtime": 70.9527, | |
| "eval_samples_per_second": 23.213, | |
| "eval_steps_per_second": 2.903, | |
| "eval_wer": 0.3741190889592483, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 10.34, | |
| "learning_rate": 0.00010097925311203319, | |
| "loss": 0.1012, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 10.34, | |
| "eval_loss": 0.38867875933647156, | |
| "eval_runtime": 71.7567, | |
| "eval_samples_per_second": 22.953, | |
| "eval_steps_per_second": 2.871, | |
| "eval_wer": 0.37054437748953123, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 10.57, | |
| "eval_loss": 0.4063725471496582, | |
| "eval_runtime": 71.9349, | |
| "eval_samples_per_second": 22.896, | |
| "eval_steps_per_second": 2.864, | |
| "eval_wer": 0.3773873965887039, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 10.8, | |
| "eval_loss": 0.3960791826248169, | |
| "eval_runtime": 71.333, | |
| "eval_samples_per_second": 23.089, | |
| "eval_steps_per_second": 2.888, | |
| "eval_wer": 0.36216933918905114, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 11.03, | |
| "eval_loss": 0.3912270963191986, | |
| "eval_runtime": 71.311, | |
| "eval_samples_per_second": 23.096, | |
| "eval_steps_per_second": 2.889, | |
| "eval_wer": 0.3573690123582882, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 11.26, | |
| "eval_loss": 0.40203624963760376, | |
| "eval_runtime": 71.1318, | |
| "eval_samples_per_second": 23.154, | |
| "eval_steps_per_second": 2.896, | |
| "eval_wer": 0.36380349300377895, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 11.49, | |
| "learning_rate": 7.608298755186722e-05, | |
| "loss": 0.088, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 11.49, | |
| "eval_loss": 0.4116981625556946, | |
| "eval_runtime": 71.2238, | |
| "eval_samples_per_second": 23.124, | |
| "eval_steps_per_second": 2.892, | |
| "eval_wer": 0.3560412623838219, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 11.72, | |
| "eval_loss": 0.39163461327552795, | |
| "eval_runtime": 74.0308, | |
| "eval_samples_per_second": 22.247, | |
| "eval_steps_per_second": 2.783, | |
| "eval_wer": 0.3523644163006843, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 11.95, | |
| "eval_loss": 0.40122881531715393, | |
| "eval_runtime": 71.4186, | |
| "eval_samples_per_second": 23.061, | |
| "eval_steps_per_second": 2.884, | |
| "eval_wer": 0.3532836278214687, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 12.18, | |
| "eval_loss": 0.40852609276771545, | |
| "eval_runtime": 71.9077, | |
| "eval_samples_per_second": 22.904, | |
| "eval_steps_per_second": 2.865, | |
| "eval_wer": 0.3583903584924931, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 12.41, | |
| "eval_loss": 0.40001052618026733, | |
| "eval_runtime": 72.0262, | |
| "eval_samples_per_second": 22.867, | |
| "eval_steps_per_second": 2.86, | |
| "eval_wer": 0.35471351240935556, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 12.64, | |
| "learning_rate": 5.118672199170124e-05, | |
| "loss": 0.0775, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 12.64, | |
| "eval_loss": 0.41365721821784973, | |
| "eval_runtime": 72.4646, | |
| "eval_samples_per_second": 22.728, | |
| "eval_steps_per_second": 2.843, | |
| "eval_wer": 0.3524665509141048, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 12.87, | |
| "eval_loss": 0.4004632234573364, | |
| "eval_runtime": 72.0964, | |
| "eval_samples_per_second": 22.844, | |
| "eval_steps_per_second": 2.857, | |
| "eval_wer": 0.34664487794913695, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 13.1, | |
| "eval_loss": 0.39855289459228516, | |
| "eval_runtime": 72.3063, | |
| "eval_samples_per_second": 22.778, | |
| "eval_steps_per_second": 2.849, | |
| "eval_wer": 0.3478704933101828, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 13.33, | |
| "eval_loss": 0.3983455300331116, | |
| "eval_runtime": 72.5729, | |
| "eval_samples_per_second": 22.694, | |
| "eval_steps_per_second": 2.839, | |
| "eval_wer": 0.34695128178939844, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 13.56, | |
| "eval_loss": 0.39398157596588135, | |
| "eval_runtime": 72.6508, | |
| "eval_samples_per_second": 22.67, | |
| "eval_steps_per_second": 2.835, | |
| "eval_wer": 0.3428658972525789, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 13.79, | |
| "learning_rate": 2.6290456431535268e-05, | |
| "loss": 0.0716, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 13.79, | |
| "eval_loss": 0.3872474133968353, | |
| "eval_runtime": 72.1424, | |
| "eval_samples_per_second": 22.83, | |
| "eval_steps_per_second": 2.855, | |
| "eval_wer": 0.3382698396486569, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 14.02, | |
| "eval_loss": 0.40051060914993286, | |
| "eval_runtime": 72.2601, | |
| "eval_samples_per_second": 22.793, | |
| "eval_steps_per_second": 2.851, | |
| "eval_wer": 0.33837197426207744, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 14.25, | |
| "eval_loss": 0.4004524350166321, | |
| "eval_runtime": 72.3811, | |
| "eval_samples_per_second": 22.755, | |
| "eval_steps_per_second": 2.846, | |
| "eval_wer": 0.33632928199366763, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 14.48, | |
| "eval_loss": 0.3973444402217865, | |
| "eval_runtime": 72.4916, | |
| "eval_samples_per_second": 22.72, | |
| "eval_steps_per_second": 2.842, | |
| "eval_wer": 0.3357164743131447, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 14.71, | |
| "eval_loss": 0.39567238092422485, | |
| "eval_runtime": 71.9912, | |
| "eval_samples_per_second": 22.878, | |
| "eval_steps_per_second": 2.861, | |
| "eval_wer": 0.3346951281789398, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 14.94, | |
| "learning_rate": 1.3941908713692947e-06, | |
| "loss": 0.0639, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 14.94, | |
| "eval_loss": 0.3942253589630127, | |
| "eval_runtime": 72.1115, | |
| "eval_samples_per_second": 22.84, | |
| "eval_steps_per_second": 2.857, | |
| "eval_wer": 0.33398018588499645, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "step": 6525, | |
| "total_flos": 6.375652211627562e+18, | |
| "train_loss": 0.4546195959770816, | |
| "train_runtime": 9820.6394, | |
| "train_samples_per_second": 5.312, | |
| "train_steps_per_second": 0.664 | |
| } | |
| ], | |
| "max_steps": 6525, | |
| "num_train_epochs": 15, | |
| "total_flos": 6.375652211627562e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |