| { | |
| "best_metric": 0.08375041708375042, | |
| "best_model_checkpoint": "w2v2_ablation_focal_ctc_a0.5_g1.0-best_on-ling_head-tp0.025_tl10_fp0.001_fl16/checkpoint-6400", | |
| "epoch": 100.0, | |
| "eval_steps": 100, | |
| "global_step": 10600, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 1.3018867924528303e-06, | |
| "loss": 891.4405, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "eval_loss": 581.3978271484375, | |
| "eval_runtime": 2.4666, | |
| "eval_samples_per_second": 290.689, | |
| "eval_steps_per_second": 4.865, | |
| "eval_wer": 18.640974307640974, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "learning_rate": 3.188679245283019e-06, | |
| "loss": 615.8164, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "eval_loss": 221.5819854736328, | |
| "eval_runtime": 2.8135, | |
| "eval_samples_per_second": 254.845, | |
| "eval_steps_per_second": 4.265, | |
| "eval_wer": 17.006506506506508, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "learning_rate": 5.075471698113208e-06, | |
| "loss": 105.0527, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "eval_loss": 43.92854309082031, | |
| "eval_runtime": 2.3487, | |
| "eval_samples_per_second": 305.278, | |
| "eval_steps_per_second": 5.109, | |
| "eval_wer": 1.0, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 3.77, | |
| "learning_rate": 6.9622641509433965e-06, | |
| "loss": 56.2539, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 3.77, | |
| "eval_loss": 40.22616958618164, | |
| "eval_runtime": 2.3996, | |
| "eval_samples_per_second": 298.803, | |
| "eval_steps_per_second": 5.001, | |
| "eval_wer": 1.0, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 4.72, | |
| "learning_rate": 8.849056603773587e-06, | |
| "loss": 51.7117, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 4.72, | |
| "eval_loss": 38.23342514038086, | |
| "eval_runtime": 2.5797, | |
| "eval_samples_per_second": 277.941, | |
| "eval_steps_per_second": 4.652, | |
| "eval_wer": 1.0, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 5.66, | |
| "learning_rate": 1.0735849056603775e-05, | |
| "loss": 49.7296, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 5.66, | |
| "eval_loss": 37.437381744384766, | |
| "eval_runtime": 2.2537, | |
| "eval_samples_per_second": 318.14, | |
| "eval_steps_per_second": 5.325, | |
| "eval_wer": 1.0, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 6.6, | |
| "learning_rate": 1.2622641509433964e-05, | |
| "loss": 49.0593, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 6.6, | |
| "eval_loss": 36.85405349731445, | |
| "eval_runtime": 2.1992, | |
| "eval_samples_per_second": 326.031, | |
| "eval_steps_per_second": 5.457, | |
| "eval_wer": 1.0, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 7.55, | |
| "learning_rate": 1.4509433962264152e-05, | |
| "loss": 48.6631, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 7.55, | |
| "eval_loss": 36.42982482910156, | |
| "eval_runtime": 2.4315, | |
| "eval_samples_per_second": 294.884, | |
| "eval_steps_per_second": 4.935, | |
| "eval_wer": 1.0, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 8.49, | |
| "learning_rate": 1.6396226415094342e-05, | |
| "loss": 47.483, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 8.49, | |
| "eval_loss": 36.36098861694336, | |
| "eval_runtime": 2.1644, | |
| "eval_samples_per_second": 331.262, | |
| "eval_steps_per_second": 5.544, | |
| "eval_wer": 1.0, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 9.43, | |
| "learning_rate": 1.828301886792453e-05, | |
| "loss": 46.5326, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 9.43, | |
| "eval_loss": 34.743927001953125, | |
| "eval_runtime": 2.6114, | |
| "eval_samples_per_second": 274.56, | |
| "eval_steps_per_second": 4.595, | |
| "eval_wer": 0.9656322989656323, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 10.38, | |
| "learning_rate": 1.9999956080468243e-05, | |
| "loss": 39.0329, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 10.38, | |
| "eval_loss": 19.4442138671875, | |
| "eval_runtime": 2.3729, | |
| "eval_samples_per_second": 302.165, | |
| "eval_steps_per_second": 5.057, | |
| "eval_wer": 0.5705705705705706, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 11.32, | |
| "learning_rate": 1.9993558613386698e-05, | |
| "loss": 22.0857, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 11.32, | |
| "eval_loss": 8.493810653686523, | |
| "eval_runtime": 2.2444, | |
| "eval_samples_per_second": 319.467, | |
| "eval_steps_per_second": 5.347, | |
| "eval_wer": 0.2355689022355689, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 12.26, | |
| "learning_rate": 1.9976324774125003e-05, | |
| "loss": 14.0187, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 12.26, | |
| "eval_loss": 5.681478500366211, | |
| "eval_runtime": 2.3861, | |
| "eval_samples_per_second": 300.488, | |
| "eval_steps_per_second": 5.029, | |
| "eval_wer": 0.17559225892559227, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 13.21, | |
| "learning_rate": 1.994827324994998e-05, | |
| "loss": 10.601, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 13.21, | |
| "eval_loss": 4.49777364730835, | |
| "eval_runtime": 2.4005, | |
| "eval_samples_per_second": 298.685, | |
| "eval_steps_per_second": 4.999, | |
| "eval_wer": 0.14781448114781448, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 14.15, | |
| "learning_rate": 1.9909876114418242e-05, | |
| "loss": 9.0735, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 14.15, | |
| "eval_loss": 3.877713203430176, | |
| "eval_runtime": 2.2377, | |
| "eval_samples_per_second": 320.415, | |
| "eval_steps_per_second": 5.363, | |
| "eval_wer": 0.13863863863863865, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 15.09, | |
| "learning_rate": 1.9860399374007944e-05, | |
| "loss": 7.449, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 15.09, | |
| "eval_loss": 3.336148500442505, | |
| "eval_runtime": 2.3804, | |
| "eval_samples_per_second": 301.214, | |
| "eval_steps_per_second": 5.041, | |
| "eval_wer": 0.1254587921254588, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 16.04, | |
| "learning_rate": 1.980023065073195e-05, | |
| "loss": 6.8473, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 16.04, | |
| "eval_loss": 3.125661849975586, | |
| "eval_runtime": 2.5179, | |
| "eval_samples_per_second": 284.762, | |
| "eval_steps_per_second": 4.766, | |
| "eval_wer": 0.1285452118785452, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 16.98, | |
| "learning_rate": 1.972943518768377e-05, | |
| "loss": 6.3913, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 16.98, | |
| "eval_loss": 2.9601635932922363, | |
| "eval_runtime": 2.6235, | |
| "eval_samples_per_second": 273.295, | |
| "eval_steps_per_second": 4.574, | |
| "eval_wer": 0.12328995662328995, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 17.92, | |
| "learning_rate": 1.964808975090999e-05, | |
| "loss": 5.8235, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 17.92, | |
| "eval_loss": 2.684321641921997, | |
| "eval_runtime": 2.4532, | |
| "eval_samples_per_second": 292.273, | |
| "eval_steps_per_second": 4.892, | |
| "eval_wer": 0.11519853186519853, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 18.87, | |
| "learning_rate": 1.955628254617017e-05, | |
| "loss": 5.8092, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 18.87, | |
| "eval_loss": 2.5890989303588867, | |
| "eval_runtime": 2.2989, | |
| "eval_samples_per_second": 311.887, | |
| "eval_steps_per_second": 5.22, | |
| "eval_wer": 0.1091091091091091, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 19.81, | |
| "learning_rate": 1.9454113123292133e-05, | |
| "loss": 5.5489, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 19.81, | |
| "eval_loss": 2.6684679985046387, | |
| "eval_runtime": 2.3348, | |
| "eval_samples_per_second": 307.093, | |
| "eval_steps_per_second": 5.14, | |
| "eval_wer": 0.12829496162829496, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 20.75, | |
| "learning_rate": 1.9341692268226572e-05, | |
| "loss": 5.4259, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 20.75, | |
| "eval_loss": 2.6267759799957275, | |
| "eval_runtime": 2.3482, | |
| "eval_samples_per_second": 305.342, | |
| "eval_steps_per_second": 5.11, | |
| "eval_wer": 0.1195362028695362, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 21.7, | |
| "learning_rate": 1.9220417100652305e-05, | |
| "loss": 4.9683, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 21.7, | |
| "eval_loss": 2.497040033340454, | |
| "eval_runtime": 2.4103, | |
| "eval_samples_per_second": 297.471, | |
| "eval_steps_per_second": 4.979, | |
| "eval_wer": 0.11461461461461461, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 22.64, | |
| "learning_rate": 1.9087969343798767e-05, | |
| "loss": 4.8524, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 22.64, | |
| "eval_loss": 2.4337053298950195, | |
| "eval_runtime": 2.2521, | |
| "eval_samples_per_second": 318.374, | |
| "eval_steps_per_second": 5.328, | |
| "eval_wer": 0.11244577911244578, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 23.58, | |
| "learning_rate": 1.8945667177522016e-05, | |
| "loss": 4.8404, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 23.58, | |
| "eval_loss": 2.363196849822998, | |
| "eval_runtime": 2.43, | |
| "eval_samples_per_second": 295.063, | |
| "eval_steps_per_second": 4.938, | |
| "eval_wer": 0.10176843510176843, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 24.53, | |
| "learning_rate": 1.8793664905138368e-05, | |
| "loss": 4.3451, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 24.53, | |
| "eval_loss": 2.33536958694458, | |
| "eval_runtime": 2.2481, | |
| "eval_samples_per_second": 318.93, | |
| "eval_steps_per_second": 5.338, | |
| "eval_wer": 0.09642976309642977, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 25.47, | |
| "learning_rate": 1.8632127348135293e-05, | |
| "loss": 4.3297, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 25.47, | |
| "eval_loss": 2.2977051734924316, | |
| "eval_runtime": 2.4208, | |
| "eval_samples_per_second": 296.188, | |
| "eval_steps_per_second": 4.957, | |
| "eval_wer": 0.10168501835168502, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 26.42, | |
| "learning_rate": 1.8461229667449597e-05, | |
| "loss": 4.0442, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 26.42, | |
| "eval_loss": 2.311631441116333, | |
| "eval_runtime": 2.3307, | |
| "eval_samples_per_second": 307.639, | |
| "eval_steps_per_second": 5.149, | |
| "eval_wer": 0.1115281948615282, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 27.36, | |
| "learning_rate": 1.828115717353417e-05, | |
| "loss": 3.7571, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 27.36, | |
| "eval_loss": 2.263737201690674, | |
| "eval_runtime": 2.2055, | |
| "eval_samples_per_second": 325.094, | |
| "eval_steps_per_second": 5.441, | |
| "eval_wer": 0.10777444110777444, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 28.3, | |
| "learning_rate": 1.809210512541925e-05, | |
| "loss": 3.7335, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 28.3, | |
| "eval_loss": 2.206997871398926, | |
| "eval_runtime": 2.6398, | |
| "eval_samples_per_second": 271.608, | |
| "eval_steps_per_second": 4.546, | |
| "eval_wer": 0.1031031031031031, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 29.25, | |
| "learning_rate": 1.7894278518986088e-05, | |
| "loss": 3.736, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 29.25, | |
| "eval_loss": 2.263699769973755, | |
| "eval_runtime": 2.4638, | |
| "eval_samples_per_second": 291.012, | |
| "eval_steps_per_second": 4.87, | |
| "eval_wer": 0.09918251584918251, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 30.19, | |
| "learning_rate": 1.7687891864682602e-05, | |
| "loss": 3.7796, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 30.19, | |
| "eval_loss": 2.23644757270813, | |
| "eval_runtime": 2.3195, | |
| "eval_samples_per_second": 309.113, | |
| "eval_steps_per_second": 5.173, | |
| "eval_wer": 0.10118451785118451, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 31.13, | |
| "learning_rate": 1.7473168954922044e-05, | |
| "loss": 3.7623, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 31.13, | |
| "eval_loss": 2.182694911956787, | |
| "eval_runtime": 2.1769, | |
| "eval_samples_per_second": 329.366, | |
| "eval_steps_per_second": 5.512, | |
| "eval_wer": 0.09834834834834835, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 32.08, | |
| "learning_rate": 1.7250342621416897e-05, | |
| "loss": 3.2842, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 32.08, | |
| "eval_loss": 2.132214307785034, | |
| "eval_runtime": 2.3628, | |
| "eval_samples_per_second": 303.453, | |
| "eval_steps_per_second": 5.079, | |
| "eval_wer": 0.10727394060727394, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 33.02, | |
| "learning_rate": 1.7019654482711144e-05, | |
| "loss": 3.4898, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 33.02, | |
| "eval_loss": 2.0691559314727783, | |
| "eval_runtime": 2.5272, | |
| "eval_samples_per_second": 283.709, | |
| "eval_steps_per_second": 4.748, | |
| "eval_wer": 0.09993326659993326, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 33.96, | |
| "learning_rate": 1.678377451617494e-05, | |
| "loss": 3.453, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 33.96, | |
| "eval_loss": 2.0662124156951904, | |
| "eval_runtime": 2.5105, | |
| "eval_samples_per_second": 285.598, | |
| "eval_steps_per_second": 4.78, | |
| "eval_wer": 0.09584584584584585, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 34.91, | |
| "learning_rate": 1.6538193677970204e-05, | |
| "loss": 3.1855, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 34.91, | |
| "eval_loss": 2.100027322769165, | |
| "eval_runtime": 2.4038, | |
| "eval_samples_per_second": 298.274, | |
| "eval_steps_per_second": 4.992, | |
| "eval_wer": 0.09075742409075742, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 35.85, | |
| "learning_rate": 1.628552324307411e-05, | |
| "loss": 3.1468, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 35.85, | |
| "eval_loss": 2.0886690616607666, | |
| "eval_runtime": 2.3819, | |
| "eval_samples_per_second": 301.015, | |
| "eval_steps_per_second": 5.038, | |
| "eval_wer": 0.09484484484484484, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 36.79, | |
| "learning_rate": 1.6026037191054634e-05, | |
| "loss": 2.9984, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 36.79, | |
| "eval_loss": 2.0588743686676025, | |
| "eval_runtime": 2.3543, | |
| "eval_samples_per_second": 304.553, | |
| "eval_steps_per_second": 5.097, | |
| "eval_wer": 0.0960960960960961, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 37.74, | |
| "learning_rate": 1.5760016891896585e-05, | |
| "loss": 3.215, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 37.74, | |
| "eval_loss": 2.043550729751587, | |
| "eval_runtime": 2.4146, | |
| "eval_samples_per_second": 296.942, | |
| "eval_steps_per_second": 4.97, | |
| "eval_wer": 0.09576242909576244, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 38.68, | |
| "learning_rate": 1.5487750800902094e-05, | |
| "loss": 3.2076, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 38.68, | |
| "eval_loss": 2.0968637466430664, | |
| "eval_runtime": 2.4694, | |
| "eval_samples_per_second": 290.354, | |
| "eval_steps_per_second": 4.859, | |
| "eval_wer": 0.09776443109776443, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 39.62, | |
| "learning_rate": 1.5209534145908222e-05, | |
| "loss": 2.8793, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 39.62, | |
| "eval_loss": 2.041957378387451, | |
| "eval_runtime": 2.3102, | |
| "eval_samples_per_second": 310.365, | |
| "eval_steps_per_second": 5.194, | |
| "eval_wer": 0.09392726059392727, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 40.57, | |
| "learning_rate": 1.4925668607160909e-05, | |
| "loss": 2.9688, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 40.57, | |
| "eval_loss": 2.071272850036621, | |
| "eval_runtime": 2.4519, | |
| "eval_samples_per_second": 292.431, | |
| "eval_steps_per_second": 4.894, | |
| "eval_wer": 0.09000667334000667, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 41.51, | |
| "learning_rate": 1.4636461990192293e-05, | |
| "loss": 2.9882, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 41.51, | |
| "eval_loss": 2.0372629165649414, | |
| "eval_runtime": 2.4242, | |
| "eval_samples_per_second": 295.773, | |
| "eval_steps_per_second": 4.95, | |
| "eval_wer": 0.09401067734401068, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 42.45, | |
| "learning_rate": 1.4342227892056201e-05, | |
| "loss": 3.12, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 42.45, | |
| "eval_loss": 2.051344156265259, | |
| "eval_runtime": 2.4019, | |
| "eval_samples_per_second": 298.511, | |
| "eval_steps_per_second": 4.996, | |
| "eval_wer": 0.10076743410076744, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 43.4, | |
| "learning_rate": 1.4043285361283684e-05, | |
| "loss": 2.7528, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 43.4, | |
| "eval_loss": 2.0499579906463623, | |
| "eval_runtime": 2.4223, | |
| "eval_samples_per_second": 296.003, | |
| "eval_steps_per_second": 4.954, | |
| "eval_wer": 0.09601267934601268, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 44.34, | |
| "learning_rate": 1.3739958551927287e-05, | |
| "loss": 2.441, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 44.34, | |
| "eval_loss": 2.069186210632324, | |
| "eval_runtime": 2.305, | |
| "eval_samples_per_second": 311.06, | |
| "eval_steps_per_second": 5.206, | |
| "eval_wer": 0.09426092759426093, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 45.28, | |
| "learning_rate": 1.3432576372069266e-05, | |
| "loss": 2.6396, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 45.28, | |
| "eval_loss": 2.0387191772460938, | |
| "eval_runtime": 2.2918, | |
| "eval_samples_per_second": 312.858, | |
| "eval_steps_per_second": 5.236, | |
| "eval_wer": 0.09042375709042376, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 46.23, | |
| "learning_rate": 1.3121472127174802e-05, | |
| "loss": 2.5982, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 46.23, | |
| "eval_loss": 2.097353458404541, | |
| "eval_runtime": 2.1561, | |
| "eval_samples_per_second": 332.538, | |
| "eval_steps_per_second": 5.565, | |
| "eval_wer": 0.09751418084751418, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 47.17, | |
| "learning_rate": 1.2810143685892372e-05, | |
| "loss": 2.574, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 47.17, | |
| "eval_loss": 2.0483639240264893, | |
| "eval_runtime": 2.242, | |
| "eval_samples_per_second": 319.807, | |
| "eval_steps_per_second": 5.352, | |
| "eval_wer": 0.09334334334334335, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 48.11, | |
| "learning_rate": 1.2492639743368096e-05, | |
| "loss": 2.3482, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 48.11, | |
| "eval_loss": 2.0369696617126465, | |
| "eval_runtime": 2.3696, | |
| "eval_samples_per_second": 302.588, | |
| "eval_steps_per_second": 5.064, | |
| "eval_wer": 0.0980980980980981, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 49.06, | |
| "learning_rate": 1.2172432942631333e-05, | |
| "loss": 2.4587, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 49.06, | |
| "eval_loss": 2.04119873046875, | |
| "eval_runtime": 2.4596, | |
| "eval_samples_per_second": 291.51, | |
| "eval_steps_per_second": 4.879, | |
| "eval_wer": 0.10318651985318653, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "learning_rate": 1.1849870495341276e-05, | |
| "loss": 2.3123, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_loss": 2.024881362915039, | |
| "eval_runtime": 2.5348, | |
| "eval_samples_per_second": 282.863, | |
| "eval_steps_per_second": 4.734, | |
| "eval_wer": 0.10201868535201869, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 50.94, | |
| "learning_rate": 1.1525302167468726e-05, | |
| "loss": 2.27, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 50.94, | |
| "eval_loss": 2.0079431533813477, | |
| "eval_runtime": 2.4769, | |
| "eval_samples_per_second": 289.474, | |
| "eval_steps_per_second": 4.845, | |
| "eval_wer": 0.09092425759092426, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 51.89, | |
| "learning_rate": 1.1199079900032368e-05, | |
| "loss": 2.3862, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 51.89, | |
| "eval_loss": 2.059471368789673, | |
| "eval_runtime": 2.224, | |
| "eval_samples_per_second": 322.392, | |
| "eval_steps_per_second": 5.396, | |
| "eval_wer": 0.09100767434100768, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 52.83, | |
| "learning_rate": 1.0871557427476585e-05, | |
| "loss": 2.4499, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 52.83, | |
| "eval_loss": 2.0381622314453125, | |
| "eval_runtime": 2.4243, | |
| "eval_samples_per_second": 295.755, | |
| "eval_steps_per_second": 4.95, | |
| "eval_wer": 0.09476142809476143, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 53.77, | |
| "learning_rate": 1.0543089894104534e-05, | |
| "loss": 2.4291, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 53.77, | |
| "eval_loss": 2.017373561859131, | |
| "eval_runtime": 2.1661, | |
| "eval_samples_per_second": 331.015, | |
| "eval_steps_per_second": 5.54, | |
| "eval_wer": 0.09259259259259259, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 54.72, | |
| "learning_rate": 1.0214033468982562e-05, | |
| "loss": 2.1468, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 54.72, | |
| "eval_loss": 2.0347118377685547, | |
| "eval_runtime": 1.8529, | |
| "eval_samples_per_second": 386.958, | |
| "eval_steps_per_second": 6.476, | |
| "eval_wer": 0.09392726059392727, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 55.66, | |
| "learning_rate": 9.884744959733346e-06, | |
| "loss": 2.1434, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 55.66, | |
| "eval_loss": 2.000370740890503, | |
| "eval_runtime": 1.7262, | |
| "eval_samples_per_second": 415.372, | |
| "eval_steps_per_second": 6.952, | |
| "eval_wer": 0.09626292959626293, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 56.6, | |
| "learning_rate": 9.555581425636648e-06, | |
| "loss": 2.1786, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 56.6, | |
| "eval_loss": 1.9845067262649536, | |
| "eval_runtime": 2.4059, | |
| "eval_samples_per_second": 298.012, | |
| "eval_steps_per_second": 4.988, | |
| "eval_wer": 0.08775442108775443, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 57.55, | |
| "learning_rate": 9.226899790457235e-06, | |
| "loss": 2.22, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 57.55, | |
| "eval_loss": 1.9827125072479248, | |
| "eval_runtime": 2.3396, | |
| "eval_samples_per_second": 306.465, | |
| "eval_steps_per_second": 5.129, | |
| "eval_wer": 0.08800467133800467, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 58.49, | |
| "learning_rate": 8.899056455419669e-06, | |
| "loss": 2.0233, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 58.49, | |
| "eval_loss": 1.9879730939865112, | |
| "eval_runtime": 2.2809, | |
| "eval_samples_per_second": 314.347, | |
| "eval_steps_per_second": 5.261, | |
| "eval_wer": 0.09225892559225893, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 59.43, | |
| "learning_rate": 8.572406912749754e-06, | |
| "loss": 2.1476, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 59.43, | |
| "eval_loss": 1.9856195449829102, | |
| "eval_runtime": 2.3738, | |
| "eval_samples_per_second": 302.049, | |
| "eval_steps_per_second": 5.055, | |
| "eval_wer": 0.0851685018351685, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 60.38, | |
| "learning_rate": 8.247305360201655e-06, | |
| "loss": 1.9682, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 60.38, | |
| "eval_loss": 2.0001020431518555, | |
| "eval_runtime": 2.2033, | |
| "eval_samples_per_second": 325.42, | |
| "eval_steps_per_second": 5.446, | |
| "eval_wer": 0.08375041708375042, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 61.32, | |
| "learning_rate": 7.924104316988596e-06, | |
| "loss": 2.2104, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 61.32, | |
| "eval_loss": 2.00523042678833, | |
| "eval_runtime": 2.416, | |
| "eval_samples_per_second": 296.776, | |
| "eval_steps_per_second": 4.967, | |
| "eval_wer": 0.08850517183850518, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 62.26, | |
| "learning_rate": 7.603154241533719e-06, | |
| "loss": 2.1225, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 62.26, | |
| "eval_loss": 1.9984441995620728, | |
| "eval_runtime": 2.4278, | |
| "eval_samples_per_second": 295.326, | |
| "eval_steps_per_second": 4.943, | |
| "eval_wer": 0.08558558558558559, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 63.21, | |
| "learning_rate": 7.284803151455521e-06, | |
| "loss": 2.1791, | |
| "step": 6700 | |
| }, | |
| { | |
| "epoch": 63.21, | |
| "eval_loss": 1.9606465101242065, | |
| "eval_runtime": 2.5341, | |
| "eval_samples_per_second": 282.944, | |
| "eval_steps_per_second": 4.735, | |
| "eval_wer": 0.08375041708375042, | |
| "step": 6700 | |
| }, | |
| { | |
| "epoch": 64.15, | |
| "learning_rate": 6.969396246199912e-06, | |
| "loss": 2.1231, | |
| "step": 6800 | |
| }, | |
| { | |
| "epoch": 64.15, | |
| "eval_loss": 1.990545630455017, | |
| "eval_runtime": 2.3825, | |
| "eval_samples_per_second": 300.949, | |
| "eval_steps_per_second": 5.037, | |
| "eval_wer": 0.09167500834167501, | |
| "step": 6800 | |
| }, | |
| { | |
| "epoch": 65.09, | |
| "learning_rate": 6.6572755327281506e-06, | |
| "loss": 2.0084, | |
| "step": 6900 | |
| }, | |
| { | |
| "epoch": 65.09, | |
| "eval_loss": 1.9865972995758057, | |
| "eval_runtime": 2.6326, | |
| "eval_samples_per_second": 272.356, | |
| "eval_steps_per_second": 4.558, | |
| "eval_wer": 0.0920920920920921, | |
| "step": 6900 | |
| }, | |
| { | |
| "epoch": 66.04, | |
| "learning_rate": 6.348779454666496e-06, | |
| "loss": 2.0541, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 66.04, | |
| "eval_loss": 1.994759202003479, | |
| "eval_runtime": 1.4909, | |
| "eval_samples_per_second": 480.93, | |
| "eval_steps_per_second": 8.049, | |
| "eval_wer": 0.09334334334334335, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 66.98, | |
| "learning_rate": 6.044242525319699e-06, | |
| "loss": 1.9073, | |
| "step": 7100 | |
| }, | |
| { | |
| "epoch": 66.98, | |
| "eval_loss": 1.9885362386703491, | |
| "eval_runtime": 2.3508, | |
| "eval_samples_per_second": 305.006, | |
| "eval_steps_per_second": 5.105, | |
| "eval_wer": 0.09034034034034034, | |
| "step": 7100 | |
| }, | |
| { | |
| "epoch": 67.92, | |
| "learning_rate": 5.743994964946289e-06, | |
| "loss": 1.9308, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 67.92, | |
| "eval_loss": 2.0064358711242676, | |
| "eval_runtime": 2.4726, | |
| "eval_samples_per_second": 289.979, | |
| "eval_steps_per_second": 4.853, | |
| "eval_wer": 0.09192525859192525, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 68.87, | |
| "learning_rate": 5.448362342688988e-06, | |
| "loss": 2.1946, | |
| "step": 7300 | |
| }, | |
| { | |
| "epoch": 68.87, | |
| "eval_loss": 1.982782006263733, | |
| "eval_runtime": 2.4706, | |
| "eval_samples_per_second": 290.213, | |
| "eval_steps_per_second": 4.857, | |
| "eval_wer": 0.0915915915915916, | |
| "step": 7300 | |
| }, | |
| { | |
| "epoch": 69.81, | |
| "learning_rate": 5.157665223548437e-06, | |
| "loss": 1.9435, | |
| "step": 7400 | |
| }, | |
| { | |
| "epoch": 69.81, | |
| "eval_loss": 1.9889380931854248, | |
| "eval_runtime": 2.2043, | |
| "eval_samples_per_second": 325.271, | |
| "eval_steps_per_second": 5.444, | |
| "eval_wer": 0.09284284284284285, | |
| "step": 7400 | |
| }, | |
| { | |
| "epoch": 70.75, | |
| "learning_rate": 4.872218820783145e-06, | |
| "loss": 1.8279, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 70.75, | |
| "eval_loss": 1.9958916902542114, | |
| "eval_runtime": 2.2674, | |
| "eval_samples_per_second": 316.215, | |
| "eval_steps_per_second": 5.292, | |
| "eval_wer": 0.09109109109109109, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 71.7, | |
| "learning_rate": 4.592332654112531e-06, | |
| "loss": 1.7645, | |
| "step": 7600 | |
| }, | |
| { | |
| "epoch": 71.7, | |
| "eval_loss": 2.0133848190307617, | |
| "eval_runtime": 2.295, | |
| "eval_samples_per_second": 312.419, | |
| "eval_steps_per_second": 5.229, | |
| "eval_wer": 0.09292625959292626, | |
| "step": 7600 | |
| }, | |
| { | |
| "epoch": 72.64, | |
| "learning_rate": 4.318310214093595e-06, | |
| "loss": 1.6908, | |
| "step": 7700 | |
| }, | |
| { | |
| "epoch": 72.64, | |
| "eval_loss": 2.011880397796631, | |
| "eval_runtime": 2.2846, | |
| "eval_samples_per_second": 313.84, | |
| "eval_steps_per_second": 5.253, | |
| "eval_wer": 0.09125792459125792, | |
| "step": 7700 | |
| }, | |
| { | |
| "epoch": 73.58, | |
| "learning_rate": 4.050448633035326e-06, | |
| "loss": 1.7531, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 73.58, | |
| "eval_loss": 1.9963144063949585, | |
| "eval_runtime": 2.1478, | |
| "eval_samples_per_second": 333.825, | |
| "eval_steps_per_second": 5.587, | |
| "eval_wer": 0.08792125458792126, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 74.53, | |
| "learning_rate": 3.7890383628075156e-06, | |
| "loss": 1.6314, | |
| "step": 7900 | |
| }, | |
| { | |
| "epoch": 74.53, | |
| "eval_loss": 1.985355019569397, | |
| "eval_runtime": 2.4657, | |
| "eval_samples_per_second": 290.788, | |
| "eval_steps_per_second": 4.867, | |
| "eval_wer": 0.09150817484150818, | |
| "step": 7900 | |
| }, | |
| { | |
| "epoch": 75.47, | |
| "learning_rate": 3.5343628598934275e-06, | |
| "loss": 1.7651, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 75.47, | |
| "eval_loss": 1.998374581336975, | |
| "eval_runtime": 2.4638, | |
| "eval_samples_per_second": 291.019, | |
| "eval_steps_per_second": 4.871, | |
| "eval_wer": 0.09200867534200867, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 76.42, | |
| "learning_rate": 3.2866982780278357e-06, | |
| "loss": 1.8407, | |
| "step": 8100 | |
| }, | |
| { | |
| "epoch": 76.42, | |
| "eval_loss": 1.9792897701263428, | |
| "eval_runtime": 2.1912, | |
| "eval_samples_per_second": 327.212, | |
| "eval_steps_per_second": 5.476, | |
| "eval_wer": 0.09034034034034034, | |
| "step": 8100 | |
| }, | |
| { | |
| "epoch": 77.36, | |
| "learning_rate": 3.0463131687536695e-06, | |
| "loss": 1.8132, | |
| "step": 8200 | |
| }, | |
| { | |
| "epoch": 77.36, | |
| "eval_loss": 2.020777702331543, | |
| "eval_runtime": 2.3383, | |
| "eval_samples_per_second": 306.636, | |
| "eval_steps_per_second": 5.132, | |
| "eval_wer": 0.0911745078411745, | |
| "step": 8200 | |
| }, | |
| { | |
| "epoch": 78.3, | |
| "learning_rate": 2.815758480419235e-06, | |
| "loss": 1.6622, | |
| "step": 8300 | |
| }, | |
| { | |
| "epoch": 78.3, | |
| "eval_loss": 2.0105645656585693, | |
| "eval_runtime": 2.3714, | |
| "eval_samples_per_second": 302.358, | |
| "eval_steps_per_second": 5.06, | |
| "eval_wer": 0.09059059059059059, | |
| "step": 8300 | |
| }, | |
| { | |
| "epoch": 79.25, | |
| "learning_rate": 2.5906269663556484e-06, | |
| "loss": 2.1048, | |
| "step": 8400 | |
| }, | |
| { | |
| "epoch": 79.25, | |
| "eval_loss": 1.9989068508148193, | |
| "eval_runtime": 2.2272, | |
| "eval_samples_per_second": 321.925, | |
| "eval_steps_per_second": 5.388, | |
| "eval_wer": 0.09150817484150818, | |
| "step": 8400 | |
| }, | |
| { | |
| "epoch": 80.19, | |
| "learning_rate": 2.373529699842936e-06, | |
| "loss": 1.7944, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 80.19, | |
| "eval_loss": 1.9979627132415771, | |
| "eval_runtime": 2.1554, | |
| "eval_samples_per_second": 332.647, | |
| "eval_steps_per_second": 5.567, | |
| "eval_wer": 0.09125792459125792, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 81.13, | |
| "learning_rate": 2.1647020871933288e-06, | |
| "loss": 1.8029, | |
| "step": 8600 | |
| }, | |
| { | |
| "epoch": 81.13, | |
| "eval_loss": 1.9869658946990967, | |
| "eval_runtime": 2.1969, | |
| "eval_samples_per_second": 326.373, | |
| "eval_steps_per_second": 5.462, | |
| "eval_wer": 0.08967300633967301, | |
| "step": 8600 | |
| }, | |
| { | |
| "epoch": 82.08, | |
| "learning_rate": 1.964370567638303e-06, | |
| "loss": 1.8474, | |
| "step": 8700 | |
| }, | |
| { | |
| "epoch": 82.08, | |
| "eval_loss": 1.9901043176651, | |
| "eval_runtime": 2.308, | |
| "eval_samples_per_second": 310.659, | |
| "eval_steps_per_second": 5.199, | |
| "eval_wer": 0.08900567233900568, | |
| "step": 8700 | |
| }, | |
| { | |
| "epoch": 83.02, | |
| "learning_rate": 1.772752367792452e-06, | |
| "loss": 1.5574, | |
| "step": 8800 | |
| }, | |
| { | |
| "epoch": 83.02, | |
| "eval_loss": 1.995169997215271, | |
| "eval_runtime": 2.4713, | |
| "eval_samples_per_second": 290.133, | |
| "eval_steps_per_second": 4.856, | |
| "eval_wer": 0.09050717384050717, | |
| "step": 8800 | |
| }, | |
| { | |
| "epoch": 83.96, | |
| "learning_rate": 1.5900552661069135e-06, | |
| "loss": 1.5757, | |
| "step": 8900 | |
| }, | |
| { | |
| "epoch": 83.96, | |
| "eval_loss": 1.9981709718704224, | |
| "eval_runtime": 2.3845, | |
| "eval_samples_per_second": 300.687, | |
| "eval_steps_per_second": 5.032, | |
| "eval_wer": 0.090674007340674, | |
| "step": 8900 | |
| }, | |
| { | |
| "epoch": 84.91, | |
| "learning_rate": 1.4164773675677745e-06, | |
| "loss": 1.6461, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 84.91, | |
| "eval_loss": 1.9857734441757202, | |
| "eval_runtime": 2.5116, | |
| "eval_samples_per_second": 285.476, | |
| "eval_steps_per_second": 4.778, | |
| "eval_wer": 0.09000667334000667, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 85.85, | |
| "learning_rate": 1.2522068888837758e-06, | |
| "loss": 1.7695, | |
| "step": 9100 | |
| }, | |
| { | |
| "epoch": 85.85, | |
| "eval_loss": 1.9991123676300049, | |
| "eval_runtime": 2.3638, | |
| "eval_samples_per_second": 303.323, | |
| "eval_steps_per_second": 5.077, | |
| "eval_wer": 0.09050717384050717, | |
| "step": 9100 | |
| }, | |
| { | |
| "epoch": 86.79, | |
| "learning_rate": 1.0989222905788767e-06, | |
| "loss": 1.6583, | |
| "step": 9200 | |
| }, | |
| { | |
| "epoch": 86.79, | |
| "eval_loss": 2.0011229515075684, | |
| "eval_runtime": 2.6206, | |
| "eval_samples_per_second": 273.605, | |
| "eval_steps_per_second": 4.579, | |
| "eval_wer": 0.0901735068401735, | |
| "step": 9200 | |
| }, | |
| { | |
| "epoch": 87.74, | |
| "learning_rate": 9.536934087073702e-07, | |
| "loss": 1.7586, | |
| "step": 9300 | |
| }, | |
| { | |
| "epoch": 87.74, | |
| "eval_loss": 1.9869186878204346, | |
| "eval_runtime": 2.2585, | |
| "eval_samples_per_second": 317.471, | |
| "eval_steps_per_second": 5.313, | |
| "eval_wer": 0.09109109109109109, | |
| "step": 9300 | |
| }, | |
| { | |
| "epoch": 88.68, | |
| "learning_rate": 8.182737598499846e-07, | |
| "loss": 1.7142, | |
| "step": 9400 | |
| }, | |
| { | |
| "epoch": 88.68, | |
| "eval_loss": 1.9956245422363281, | |
| "eval_runtime": 2.3135, | |
| "eval_samples_per_second": 309.919, | |
| "eval_steps_per_second": 5.187, | |
| "eval_wer": 0.08883883883883884, | |
| "step": 9400 | |
| }, | |
| { | |
| "epoch": 89.62, | |
| "learning_rate": 6.928101843638202e-07, | |
| "loss": 1.7371, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 89.62, | |
| "eval_loss": 1.9968063831329346, | |
| "eval_runtime": 2.2601, | |
| "eval_samples_per_second": 317.242, | |
| "eval_steps_per_second": 5.309, | |
| "eval_wer": 0.08883883883883884, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 90.57, | |
| "learning_rate": 5.774387268803871e-07, | |
| "loss": 1.6964, | |
| "step": 9600 | |
| }, | |
| { | |
| "epoch": 90.57, | |
| "eval_loss": 1.995816946029663, | |
| "eval_runtime": 2.4368, | |
| "eval_samples_per_second": 294.238, | |
| "eval_steps_per_second": 4.924, | |
| "eval_wer": 0.08917250583917251, | |
| "step": 9600 | |
| }, | |
| { | |
| "epoch": 91.51, | |
| "learning_rate": 4.722844887875522e-07, | |
| "loss": 1.7224, | |
| "step": 9700 | |
| }, | |
| { | |
| "epoch": 91.51, | |
| "eval_loss": 1.9946993589401245, | |
| "eval_runtime": 2.3446, | |
| "eval_samples_per_second": 305.812, | |
| "eval_steps_per_second": 5.118, | |
| "eval_wer": 0.0890890890890891, | |
| "step": 9700 | |
| }, | |
| { | |
| "epoch": 92.45, | |
| "learning_rate": 3.7746149257763984e-07, | |
| "loss": 1.8655, | |
| "step": 9800 | |
| }, | |
| { | |
| "epoch": 92.45, | |
| "eval_loss": 1.9976409673690796, | |
| "eval_runtime": 2.2923, | |
| "eval_samples_per_second": 312.785, | |
| "eval_steps_per_second": 5.235, | |
| "eval_wer": 0.09084084084084085, | |
| "step": 9800 | |
| }, | |
| { | |
| "epoch": 93.4, | |
| "learning_rate": 2.9307255820877676e-07, | |
| "loss": 1.6929, | |
| "step": 9900 | |
| }, | |
| { | |
| "epoch": 93.4, | |
| "eval_loss": 1.9983611106872559, | |
| "eval_runtime": 2.4001, | |
| "eval_samples_per_second": 298.733, | |
| "eval_steps_per_second": 5.0, | |
| "eval_wer": 0.09092425759092426, | |
| "step": 9900 | |
| }, | |
| { | |
| "epoch": 94.34, | |
| "learning_rate": 2.1920919161354304e-07, | |
| "loss": 1.6306, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 94.34, | |
| "eval_loss": 2.0011918544769287, | |
| "eval_runtime": 2.4656, | |
| "eval_samples_per_second": 290.798, | |
| "eval_steps_per_second": 4.867, | |
| "eval_wer": 0.09109109109109109, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 95.28, | |
| "learning_rate": 1.5595148547582373e-07, | |
| "loss": 1.7218, | |
| "step": 10100 | |
| }, | |
| { | |
| "epoch": 95.28, | |
| "eval_loss": 2.00104022026062, | |
| "eval_runtime": 2.3298, | |
| "eval_samples_per_second": 307.747, | |
| "eval_steps_per_second": 5.151, | |
| "eval_wer": 0.09125792459125792, | |
| "step": 10100 | |
| }, | |
| { | |
| "epoch": 96.23, | |
| "learning_rate": 1.0336803238345072e-07, | |
| "loss": 1.7019, | |
| "step": 10200 | |
| }, | |
| { | |
| "epoch": 96.23, | |
| "eval_loss": 1.9976770877838135, | |
| "eval_runtime": 2.2461, | |
| "eval_samples_per_second": 319.217, | |
| "eval_steps_per_second": 5.343, | |
| "eval_wer": 0.09075742409075742, | |
| "step": 10200 | |
| }, | |
| { | |
| "epoch": 97.17, | |
| "learning_rate": 6.151585045082286e-08, | |
| "loss": 1.902, | |
| "step": 10300 | |
| }, | |
| { | |
| "epoch": 97.17, | |
| "eval_loss": 1.998861312866211, | |
| "eval_runtime": 2.2497, | |
| "eval_samples_per_second": 318.711, | |
| "eval_steps_per_second": 5.334, | |
| "eval_wer": 0.09084084084084085, | |
| "step": 10300 | |
| }, | |
| { | |
| "epoch": 98.11, | |
| "learning_rate": 3.0697611999174206e-08, | |
| "loss": 1.7555, | |
| "step": 10400 | |
| }, | |
| { | |
| "epoch": 98.11, | |
| "eval_loss": 1.9963606595993042, | |
| "eval_runtime": 2.2237, | |
| "eval_samples_per_second": 322.442, | |
| "eval_steps_per_second": 5.397, | |
| "eval_wer": 0.09092425759092426, | |
| "step": 10400 | |
| }, | |
| { | |
| "epoch": 99.06, | |
| "learning_rate": 1.0324200495079873e-08, | |
| "loss": 1.5272, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 99.06, | |
| "eval_loss": 1.9957144260406494, | |
| "eval_runtime": 2.3635, | |
| "eval_samples_per_second": 303.362, | |
| "eval_steps_per_second": 5.077, | |
| "eval_wer": 0.09059059059059059, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "learning_rate": 7.829508974999123e-10, | |
| "loss": 1.8033, | |
| "step": 10600 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "eval_loss": 1.995154619216919, | |
| "eval_runtime": 2.2963, | |
| "eval_samples_per_second": 312.239, | |
| "eval_steps_per_second": 5.226, | |
| "eval_wer": 0.09084084084084085, | |
| "step": 10600 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "step": 10600, | |
| "total_flos": 2.842046364754798e+19, | |
| "train_loss": 21.743694989186412, | |
| "train_runtime": 7460.3687, | |
| "train_samples_per_second": 45.36, | |
| "train_steps_per_second": 1.421 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 10600, | |
| "num_train_epochs": 100, | |
| "save_steps": 100, | |
| "total_flos": 2.842046364754798e+19, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |