| { | |
| "best_metric": 0.09492826159492826, | |
| "best_model_checkpoint": "fine-w2v2base-bs16-ep100-lr2e-05-linguistic-rmsnorm-focal_ctc_a0.99_g1.0-0.05_10_0.004_40/checkpoint-4450", | |
| "epoch": 100.0, | |
| "eval_steps": 50, | |
| "global_step": 5300, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 7.169811320754717e-07, | |
| "loss": 2181.8592, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "eval_loss": 1087.6209716796875, | |
| "eval_runtime": 3.509, | |
| "eval_samples_per_second": 204.334, | |
| "eval_steps_per_second": 6.555, | |
| "eval_wer": 15.942025358692025, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "learning_rate": 2.5660377358490568e-06, | |
| "loss": 1908.6856, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "eval_loss": 809.7703247070312, | |
| "eval_runtime": 2.575, | |
| "eval_samples_per_second": 278.445, | |
| "eval_steps_per_second": 8.932, | |
| "eval_wer": 15.877293960627293, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "learning_rate": 4.452830188679246e-06, | |
| "loss": 838.4017, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "eval_loss": 112.64669036865234, | |
| "eval_runtime": 2.3442, | |
| "eval_samples_per_second": 305.859, | |
| "eval_steps_per_second": 9.811, | |
| "eval_wer": 0.9996663329996663, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 3.77, | |
| "learning_rate": 6.339622641509434e-06, | |
| "loss": 117.7945, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 3.77, | |
| "eval_loss": 85.67916107177734, | |
| "eval_runtime": 2.4505, | |
| "eval_samples_per_second": 292.59, | |
| "eval_steps_per_second": 9.386, | |
| "eval_wer": 1.0, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 4.72, | |
| "learning_rate": 8.226415094339623e-06, | |
| "loss": 109.9946, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 4.72, | |
| "eval_loss": 82.57705688476562, | |
| "eval_runtime": 2.3658, | |
| "eval_samples_per_second": 303.071, | |
| "eval_steps_per_second": 9.722, | |
| "eval_wer": 1.0, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 5.66, | |
| "learning_rate": 1.0113207547169812e-05, | |
| "loss": 105.7306, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 5.66, | |
| "eval_loss": 79.65999603271484, | |
| "eval_runtime": 2.4085, | |
| "eval_samples_per_second": 297.69, | |
| "eval_steps_per_second": 9.549, | |
| "eval_wer": 1.0, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 6.6, | |
| "learning_rate": 1.2e-05, | |
| "loss": 102.0127, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 6.6, | |
| "eval_loss": 77.22874450683594, | |
| "eval_runtime": 2.2958, | |
| "eval_samples_per_second": 312.304, | |
| "eval_steps_per_second": 10.018, | |
| "eval_wer": 1.0, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 7.55, | |
| "learning_rate": 1.3886792452830189e-05, | |
| "loss": 97.9428, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 7.55, | |
| "eval_loss": 75.43338012695312, | |
| "eval_runtime": 2.2511, | |
| "eval_samples_per_second": 318.513, | |
| "eval_steps_per_second": 10.217, | |
| "eval_wer": 1.0, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 8.49, | |
| "learning_rate": 1.577358490566038e-05, | |
| "loss": 96.0055, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 8.49, | |
| "eval_loss": 74.68699645996094, | |
| "eval_runtime": 2.3966, | |
| "eval_samples_per_second": 299.18, | |
| "eval_steps_per_second": 9.597, | |
| "eval_wer": 1.0, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 9.43, | |
| "learning_rate": 1.766037735849057e-05, | |
| "loss": 96.9376, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 9.43, | |
| "eval_loss": 74.24928283691406, | |
| "eval_runtime": 2.3235, | |
| "eval_samples_per_second": 308.593, | |
| "eval_steps_per_second": 9.899, | |
| "eval_wer": 1.0, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 10.38, | |
| "learning_rate": 1.9547169811320757e-05, | |
| "loss": 95.6634, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 10.38, | |
| "eval_loss": 74.1340560913086, | |
| "eval_runtime": 2.2186, | |
| "eval_samples_per_second": 323.18, | |
| "eval_steps_per_second": 10.367, | |
| "eval_wer": 1.0, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 11.32, | |
| "learning_rate": 1.9996868319012422e-05, | |
| "loss": 96.1578, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 11.32, | |
| "eval_loss": 74.90034484863281, | |
| "eval_runtime": 2.3308, | |
| "eval_samples_per_second": 307.622, | |
| "eval_steps_per_second": 9.868, | |
| "eval_wer": 1.0, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 12.26, | |
| "learning_rate": 1.9983208992285993e-05, | |
| "loss": 92.5678, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 12.26, | |
| "eval_loss": 75.66032409667969, | |
| "eval_runtime": 2.35, | |
| "eval_samples_per_second": 305.104, | |
| "eval_steps_per_second": 9.787, | |
| "eval_wer": 1.0598098098098099, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 13.21, | |
| "learning_rate": 1.9958724515842856e-05, | |
| "loss": 90.5927, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 13.21, | |
| "eval_loss": 73.4554672241211, | |
| "eval_runtime": 2.3862, | |
| "eval_samples_per_second": 300.482, | |
| "eval_steps_per_second": 9.639, | |
| "eval_wer": 1.0538872205538872, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 14.15, | |
| "learning_rate": 1.9923441439074434e-05, | |
| "loss": 87.8965, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 14.15, | |
| "eval_loss": 72.41024017333984, | |
| "eval_runtime": 2.3682, | |
| "eval_samples_per_second": 302.757, | |
| "eval_steps_per_second": 9.712, | |
| "eval_wer": 0.9986653319986654, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 15.09, | |
| "learning_rate": 1.9877398020679796e-05, | |
| "loss": 86.8467, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 15.09, | |
| "eval_loss": 69.77374267578125, | |
| "eval_runtime": 2.3633, | |
| "eval_samples_per_second": 303.392, | |
| "eval_steps_per_second": 9.732, | |
| "eval_wer": 0.9984150817484151, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 16.04, | |
| "learning_rate": 1.9820644187180354e-05, | |
| "loss": 85.3381, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 16.04, | |
| "eval_loss": 67.84330749511719, | |
| "eval_runtime": 2.282, | |
| "eval_samples_per_second": 314.204, | |
| "eval_steps_per_second": 10.079, | |
| "eval_wer": 0.9717217217217218, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 16.98, | |
| "learning_rate": 1.975324147878278e-05, | |
| "loss": 80.3298, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 16.98, | |
| "eval_loss": 52.40813064575195, | |
| "eval_runtime": 2.2309, | |
| "eval_samples_per_second": 321.398, | |
| "eval_steps_per_second": 10.31, | |
| "eval_wer": 0.8594427761094428, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 17.92, | |
| "learning_rate": 1.9675262982648757e-05, | |
| "loss": 56.9494, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 17.92, | |
| "eval_loss": 25.267763137817383, | |
| "eval_runtime": 2.3806, | |
| "eval_samples_per_second": 301.181, | |
| "eval_steps_per_second": 9.661, | |
| "eval_wer": 0.3554387721054388, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 18.87, | |
| "learning_rate": 1.958679325364396e-05, | |
| "loss": 32.292, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 18.87, | |
| "eval_loss": 14.86340618133545, | |
| "eval_runtime": 2.2474, | |
| "eval_samples_per_second": 319.039, | |
| "eval_steps_per_second": 10.234, | |
| "eval_wer": 0.21896896896896897, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 19.81, | |
| "learning_rate": 1.9487928222652195e-05, | |
| "loss": 22.3255, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 19.81, | |
| "eval_loss": 11.289799690246582, | |
| "eval_runtime": 2.4098, | |
| "eval_samples_per_second": 297.529, | |
| "eval_steps_per_second": 9.544, | |
| "eval_wer": 0.182349015682349, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 20.75, | |
| "learning_rate": 1.9378775092554124e-05, | |
| "loss": 17.6187, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 20.75, | |
| "eval_loss": 9.138720512390137, | |
| "eval_runtime": 2.3047, | |
| "eval_samples_per_second": 311.103, | |
| "eval_steps_per_second": 9.98, | |
| "eval_wer": 0.15340340340340342, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 21.7, | |
| "learning_rate": 1.925945222198336e-05, | |
| "loss": 15.1531, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 21.7, | |
| "eval_loss": 7.663585662841797, | |
| "eval_runtime": 2.3252, | |
| "eval_samples_per_second": 308.358, | |
| "eval_steps_per_second": 9.892, | |
| "eval_wer": 0.13680347013680347, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 22.64, | |
| "learning_rate": 1.9130088996985967e-05, | |
| "loss": 13.1696, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 22.64, | |
| "eval_loss": 7.029110908508301, | |
| "eval_runtime": 2.4316, | |
| "eval_samples_per_second": 294.871, | |
| "eval_steps_per_second": 9.459, | |
| "eval_wer": 0.14339339339339338, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 23.58, | |
| "learning_rate": 1.8990825690722557e-05, | |
| "loss": 11.9792, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 23.58, | |
| "eval_loss": 6.686671257019043, | |
| "eval_runtime": 2.3989, | |
| "eval_samples_per_second": 298.889, | |
| "eval_steps_per_second": 9.588, | |
| "eval_wer": 0.1324657991324658, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 24.53, | |
| "learning_rate": 1.8841813311365105e-05, | |
| "loss": 11.2404, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 24.53, | |
| "eval_loss": 6.294769287109375, | |
| "eval_runtime": 2.3601, | |
| "eval_samples_per_second": 303.796, | |
| "eval_steps_per_second": 9.745, | |
| "eval_wer": 0.12128795462128796, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 25.47, | |
| "learning_rate": 1.868321343835339e-05, | |
| "loss": 10.6256, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 25.47, | |
| "eval_loss": 5.715055465698242, | |
| "eval_runtime": 2.2982, | |
| "eval_samples_per_second": 311.988, | |
| "eval_steps_per_second": 10.008, | |
| "eval_wer": 0.1180347013680347, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 26.42, | |
| "learning_rate": 1.8515198047188652e-05, | |
| "loss": 9.452, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 26.42, | |
| "eval_loss": 5.419599533081055, | |
| "eval_runtime": 2.4076, | |
| "eval_samples_per_second": 297.802, | |
| "eval_steps_per_second": 9.553, | |
| "eval_wer": 0.1175342008675342, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 27.36, | |
| "learning_rate": 1.833794932295441e-05, | |
| "loss": 9.3087, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 27.36, | |
| "eval_loss": 5.292884826660156, | |
| "eval_runtime": 2.3017, | |
| "eval_samples_per_second": 311.506, | |
| "eval_steps_per_second": 9.993, | |
| "eval_wer": 0.11244577911244578, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 28.3, | |
| "learning_rate": 1.8151659462766685e-05, | |
| "loss": 8.5149, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 28.3, | |
| "eval_loss": 5.13940954208374, | |
| "eval_runtime": 2.4233, | |
| "eval_samples_per_second": 295.882, | |
| "eval_steps_per_second": 9.491, | |
| "eval_wer": 0.11628294961628295, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 29.25, | |
| "learning_rate": 1.7956530467367805e-05, | |
| "loss": 8.3662, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 29.25, | |
| "eval_loss": 5.127543926239014, | |
| "eval_runtime": 2.3508, | |
| "eval_samples_per_second": 304.996, | |
| "eval_steps_per_second": 9.784, | |
| "eval_wer": 0.12128795462128796, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 30.19, | |
| "learning_rate": 1.7752773922089784e-05, | |
| "loss": 7.8852, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 30.19, | |
| "eval_loss": 4.903261184692383, | |
| "eval_runtime": 2.4091, | |
| "eval_samples_per_second": 297.622, | |
| "eval_steps_per_second": 9.547, | |
| "eval_wer": 0.10927594260927594, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 31.13, | |
| "learning_rate": 1.7540610767424813e-05, | |
| "loss": 7.5135, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 31.13, | |
| "eval_loss": 4.957184314727783, | |
| "eval_runtime": 2.4012, | |
| "eval_samples_per_second": 298.606, | |
| "eval_steps_per_second": 9.579, | |
| "eval_wer": 0.10969302635969302, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 32.08, | |
| "learning_rate": 1.7320271059451597e-05, | |
| "loss": 7.5374, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 32.08, | |
| "eval_loss": 4.758788108825684, | |
| "eval_runtime": 2.4229, | |
| "eval_samples_per_second": 295.923, | |
| "eval_steps_per_second": 9.493, | |
| "eval_wer": 0.1016016016016016, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 33.02, | |
| "learning_rate": 1.7091993720377336e-05, | |
| "loss": 7.2968, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 33.02, | |
| "eval_loss": 4.7317328453063965, | |
| "eval_runtime": 2.2458, | |
| "eval_samples_per_second": 319.258, | |
| "eval_steps_per_second": 10.241, | |
| "eval_wer": 0.10326993660326994, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 33.96, | |
| "learning_rate": 1.685602627946584e-05, | |
| "loss": 7.0861, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 33.96, | |
| "eval_loss": 4.791558265686035, | |
| "eval_runtime": 2.2472, | |
| "eval_samples_per_second": 319.068, | |
| "eval_steps_per_second": 10.235, | |
| "eval_wer": 0.10869202535869203, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 34.91, | |
| "learning_rate": 1.661262460463274e-05, | |
| "loss": 6.6371, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 34.91, | |
| "eval_loss": 4.7941060066223145, | |
| "eval_runtime": 2.2988, | |
| "eval_samples_per_second": 311.908, | |
| "eval_steps_per_second": 10.005, | |
| "eval_wer": 0.11319652986319653, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 35.85, | |
| "learning_rate": 1.6362052624998767e-05, | |
| "loss": 6.6186, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 35.85, | |
| "eval_loss": 4.660822868347168, | |
| "eval_runtime": 2.4244, | |
| "eval_samples_per_second": 295.746, | |
| "eval_steps_per_second": 9.487, | |
| "eval_wer": 0.1036036036036036, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 36.79, | |
| "learning_rate": 1.6104582044701983e-05, | |
| "loss": 6.6288, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 36.79, | |
| "eval_loss": 4.679046154022217, | |
| "eval_runtime": 2.2429, | |
| "eval_samples_per_second": 319.68, | |
| "eval_steps_per_second": 10.255, | |
| "eval_wer": 0.10744077410744077, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 37.74, | |
| "learning_rate": 1.584049204827929e-05, | |
| "loss": 6.2433, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 37.74, | |
| "eval_loss": 4.77145528793335, | |
| "eval_runtime": 2.2791, | |
| "eval_samples_per_second": 314.598, | |
| "eval_steps_per_second": 10.092, | |
| "eval_wer": 0.11211211211211211, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 38.68, | |
| "learning_rate": 1.5570068997936686e-05, | |
| "loss": 6.2362, | |
| "step": 2050 | |
| }, | |
| { | |
| "epoch": 38.68, | |
| "eval_loss": 4.6420440673828125, | |
| "eval_runtime": 2.4168, | |
| "eval_samples_per_second": 296.676, | |
| "eval_steps_per_second": 9.517, | |
| "eval_wer": 0.10343677010343677, | |
| "step": 2050 | |
| }, | |
| { | |
| "epoch": 39.62, | |
| "learning_rate": 1.5293606123036508e-05, | |
| "loss": 5.957, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 39.62, | |
| "eval_loss": 4.575562953948975, | |
| "eval_runtime": 2.4332, | |
| "eval_samples_per_second": 294.67, | |
| "eval_steps_per_second": 9.452, | |
| "eval_wer": 0.10702369035702369, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 40.57, | |
| "learning_rate": 1.5011403202138346e-05, | |
| "loss": 5.8034, | |
| "step": 2150 | |
| }, | |
| { | |
| "epoch": 40.57, | |
| "eval_loss": 4.411165714263916, | |
| "eval_runtime": 2.3583, | |
| "eval_samples_per_second": 304.027, | |
| "eval_steps_per_second": 9.753, | |
| "eval_wer": 0.10602268935602269, | |
| "step": 2150 | |
| }, | |
| { | |
| "epoch": 41.51, | |
| "learning_rate": 1.4723766237938495e-05, | |
| "loss": 5.4943, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 41.51, | |
| "eval_loss": 4.563217639923096, | |
| "eval_runtime": 2.4228, | |
| "eval_samples_per_second": 295.938, | |
| "eval_steps_per_second": 9.493, | |
| "eval_wer": 0.10335335335335336, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 42.45, | |
| "learning_rate": 1.4431007125460274e-05, | |
| "loss": 5.5593, | |
| "step": 2250 | |
| }, | |
| { | |
| "epoch": 42.45, | |
| "eval_loss": 4.537557601928711, | |
| "eval_runtime": 2.4026, | |
| "eval_samples_per_second": 298.421, | |
| "eval_steps_per_second": 9.573, | |
| "eval_wer": 0.11052719386052719, | |
| "step": 2250 | |
| }, | |
| { | |
| "epoch": 43.4, | |
| "learning_rate": 1.4133443313855155e-05, | |
| "loss": 5.3447, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 43.4, | |
| "eval_loss": 4.54231071472168, | |
| "eval_runtime": 2.2971, | |
| "eval_samples_per_second": 312.127, | |
| "eval_steps_per_second": 10.012, | |
| "eval_wer": 0.1006006006006006, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 44.34, | |
| "learning_rate": 1.3831397462181298e-05, | |
| "loss": 5.4181, | |
| "step": 2350 | |
| }, | |
| { | |
| "epoch": 44.34, | |
| "eval_loss": 4.378854274749756, | |
| "eval_runtime": 2.3724, | |
| "eval_samples_per_second": 302.223, | |
| "eval_steps_per_second": 9.695, | |
| "eval_wer": 0.09926593259926593, | |
| "step": 2350 | |
| }, | |
| { | |
| "epoch": 45.28, | |
| "learning_rate": 1.3525197089532833e-05, | |
| "loss": 5.222, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 45.28, | |
| "eval_loss": 4.369490146636963, | |
| "eval_runtime": 2.2903, | |
| "eval_samples_per_second": 313.058, | |
| "eval_steps_per_second": 10.042, | |
| "eval_wer": 0.1031031031031031, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 46.23, | |
| "learning_rate": 1.3215174219899224e-05, | |
| "loss": 5.1146, | |
| "step": 2450 | |
| }, | |
| { | |
| "epoch": 46.23, | |
| "eval_loss": 4.410806179046631, | |
| "eval_runtime": 2.3034, | |
| "eval_samples_per_second": 311.283, | |
| "eval_steps_per_second": 9.985, | |
| "eval_wer": 0.10844177510844177, | |
| "step": 2450 | |
| }, | |
| { | |
| "epoch": 47.17, | |
| "learning_rate": 1.2901665022139796e-05, | |
| "loss": 5.0952, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 47.17, | |
| "eval_loss": 4.295694828033447, | |
| "eval_runtime": 2.2425, | |
| "eval_samples_per_second": 319.732, | |
| "eval_steps_per_second": 10.256, | |
| "eval_wer": 0.1016016016016016, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 48.11, | |
| "learning_rate": 1.2585009445463867e-05, | |
| "loss": 4.9023, | |
| "step": 2550 | |
| }, | |
| { | |
| "epoch": 48.11, | |
| "eval_loss": 4.3768768310546875, | |
| "eval_runtime": 2.4393, | |
| "eval_samples_per_second": 293.942, | |
| "eval_steps_per_second": 9.429, | |
| "eval_wer": 0.1021021021021021, | |
| "step": 2550 | |
| }, | |
| { | |
| "epoch": 49.06, | |
| "learning_rate": 1.2265550850811663e-05, | |
| "loss": 5.1633, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 49.06, | |
| "eval_loss": 4.36325216293335, | |
| "eval_runtime": 2.3579, | |
| "eval_samples_per_second": 304.084, | |
| "eval_steps_per_second": 9.754, | |
| "eval_wer": 0.10627293960627295, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "learning_rate": 1.1943635638535827e-05, | |
| "loss": 4.9489, | |
| "step": 2650 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_loss": 4.3422441482543945, | |
| "eval_runtime": 2.2967, | |
| "eval_samples_per_second": 312.186, | |
| "eval_steps_per_second": 10.014, | |
| "eval_wer": 0.10452118785452119, | |
| "step": 2650 | |
| }, | |
| { | |
| "epoch": 50.94, | |
| "learning_rate": 1.1619612872787144e-05, | |
| "loss": 4.7391, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 50.94, | |
| "eval_loss": 4.251036643981934, | |
| "eval_runtime": 2.3762, | |
| "eval_samples_per_second": 301.737, | |
| "eval_steps_per_second": 9.679, | |
| "eval_wer": 0.10293626960293627, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 51.89, | |
| "learning_rate": 1.1293833903011819e-05, | |
| "loss": 4.7996, | |
| "step": 2750 | |
| }, | |
| { | |
| "epoch": 51.89, | |
| "eval_loss": 4.3253912925720215, | |
| "eval_runtime": 2.3965, | |
| "eval_samples_per_second": 299.183, | |
| "eval_steps_per_second": 9.597, | |
| "eval_wer": 0.10118451785118451, | |
| "step": 2750 | |
| }, | |
| { | |
| "epoch": 52.83, | |
| "learning_rate": 1.0966651982970757e-05, | |
| "loss": 4.244, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 52.83, | |
| "eval_loss": 4.41210412979126, | |
| "eval_runtime": 2.392, | |
| "eval_samples_per_second": 299.749, | |
| "eval_steps_per_second": 9.615, | |
| "eval_wer": 0.10352018685352019, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 53.77, | |
| "learning_rate": 1.0638421887693887e-05, | |
| "loss": 4.5831, | |
| "step": 2850 | |
| }, | |
| { | |
| "epoch": 53.77, | |
| "eval_loss": 4.405577182769775, | |
| "eval_runtime": 2.3528, | |
| "eval_samples_per_second": 304.748, | |
| "eval_steps_per_second": 9.776, | |
| "eval_wer": 0.10443777110443778, | |
| "step": 2850 | |
| }, | |
| { | |
| "epoch": 54.72, | |
| "learning_rate": 1.0309499528784948e-05, | |
| "loss": 4.5198, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 54.72, | |
| "eval_loss": 4.363803386688232, | |
| "eval_runtime": 2.3305, | |
| "eval_samples_per_second": 307.658, | |
| "eval_steps_per_second": 9.869, | |
| "eval_wer": 0.1050216883550217, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 55.66, | |
| "learning_rate": 9.980241568493834e-06, | |
| "loss": 4.1964, | |
| "step": 2950 | |
| }, | |
| { | |
| "epoch": 55.66, | |
| "eval_loss": 4.339745044708252, | |
| "eval_runtime": 2.3557, | |
| "eval_samples_per_second": 304.369, | |
| "eval_steps_per_second": 9.764, | |
| "eval_wer": 0.10710710710710711, | |
| "step": 2950 | |
| }, | |
| { | |
| "epoch": 56.6, | |
| "learning_rate": 9.651005032974994e-06, | |
| "loss": 4.0544, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 56.6, | |
| "eval_loss": 4.349318981170654, | |
| "eval_runtime": 2.4132, | |
| "eval_samples_per_second": 297.115, | |
| "eval_steps_per_second": 9.531, | |
| "eval_wer": 0.1031031031031031, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 57.55, | |
| "learning_rate": 9.322146925151226e-06, | |
| "loss": 4.3568, | |
| "step": 3050 | |
| }, | |
| { | |
| "epoch": 57.55, | |
| "eval_loss": 4.472135066986084, | |
| "eval_runtime": 2.3982, | |
| "eval_samples_per_second": 298.97, | |
| "eval_steps_per_second": 9.59, | |
| "eval_wer": 0.10593927260593927, | |
| "step": 3050 | |
| }, | |
| { | |
| "epoch": 58.49, | |
| "learning_rate": 8.994023837602694e-06, | |
| "loss": 4.2692, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 58.49, | |
| "eval_loss": 4.427754878997803, | |
| "eval_runtime": 2.4471, | |
| "eval_samples_per_second": 292.994, | |
| "eval_steps_per_second": 9.399, | |
| "eval_wer": 0.11169502836169502, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 59.43, | |
| "learning_rate": 8.666991565900827e-06, | |
| "loss": 4.1226, | |
| "step": 3150 | |
| }, | |
| { | |
| "epoch": 59.43, | |
| "eval_loss": 4.308145523071289, | |
| "eval_runtime": 2.3553, | |
| "eval_samples_per_second": 304.422, | |
| "eval_steps_per_second": 9.765, | |
| "eval_wer": 0.10035035035035035, | |
| "step": 3150 | |
| }, | |
| { | |
| "epoch": 60.38, | |
| "learning_rate": 8.341404722806525e-06, | |
| "loss": 4.2681, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 60.38, | |
| "eval_loss": 4.417555332183838, | |
| "eval_runtime": 2.2916, | |
| "eval_samples_per_second": 312.876, | |
| "eval_steps_per_second": 10.036, | |
| "eval_wer": 0.10585585585585586, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 61.32, | |
| "learning_rate": 8.017616353750874e-06, | |
| "loss": 3.8412, | |
| "step": 3250 | |
| }, | |
| { | |
| "epoch": 61.32, | |
| "eval_loss": 4.321342945098877, | |
| "eval_runtime": 2.3267, | |
| "eval_samples_per_second": 308.163, | |
| "eval_steps_per_second": 9.885, | |
| "eval_wer": 0.10276943610276944, | |
| "step": 3250 | |
| }, | |
| { | |
| "epoch": 62.26, | |
| "learning_rate": 7.695977554015387e-06, | |
| "loss": 4.1387, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 62.26, | |
| "eval_loss": 4.341909408569336, | |
| "eval_runtime": 2.2567, | |
| "eval_samples_per_second": 317.721, | |
| "eval_steps_per_second": 10.192, | |
| "eval_wer": 0.10560560560560561, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 63.21, | |
| "learning_rate": 7.376837088026863e-06, | |
| "loss": 3.6847, | |
| "step": 3350 | |
| }, | |
| { | |
| "epoch": 63.21, | |
| "eval_loss": 4.249768257141113, | |
| "eval_runtime": 2.4172, | |
| "eval_samples_per_second": 296.628, | |
| "eval_steps_per_second": 9.515, | |
| "eval_wer": 0.10652318985652319, | |
| "step": 3350 | |
| }, | |
| { | |
| "epoch": 64.15, | |
| "learning_rate": 7.0605410111796855e-06, | |
| "loss": 3.8768, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 64.15, | |
| "eval_loss": 4.277639389038086, | |
| "eval_runtime": 2.4245, | |
| "eval_samples_per_second": 295.733, | |
| "eval_steps_per_second": 9.487, | |
| "eval_wer": 0.10276943610276944, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 65.09, | |
| "learning_rate": 6.7536610307503735e-06, | |
| "loss": 3.659, | |
| "step": 3450 | |
| }, | |
| { | |
| "epoch": 65.09, | |
| "eval_loss": 4.298828125, | |
| "eval_runtime": 2.4088, | |
| "eval_samples_per_second": 297.656, | |
| "eval_steps_per_second": 9.548, | |
| "eval_wer": 0.10076743410076744, | |
| "step": 3450 | |
| }, | |
| { | |
| "epoch": 66.04, | |
| "learning_rate": 6.444005348764207e-06, | |
| "loss": 3.809, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 66.04, | |
| "eval_loss": 4.304114818572998, | |
| "eval_runtime": 2.3018, | |
| "eval_samples_per_second": 311.5, | |
| "eval_steps_per_second": 9.992, | |
| "eval_wer": 0.10343677010343677, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 66.98, | |
| "learning_rate": 6.138205558658212e-06, | |
| "loss": 3.7459, | |
| "step": 3550 | |
| }, | |
| { | |
| "epoch": 66.98, | |
| "eval_loss": 4.295498847961426, | |
| "eval_runtime": 2.3818, | |
| "eval_samples_per_second": 301.033, | |
| "eval_steps_per_second": 9.657, | |
| "eval_wer": 0.09951618284951619, | |
| "step": 3550 | |
| }, | |
| { | |
| "epoch": 67.92, | |
| "learning_rate": 5.83659325005591e-06, | |
| "loss": 3.7996, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 67.92, | |
| "eval_loss": 4.284261703491211, | |
| "eval_runtime": 2.241, | |
| "eval_samples_per_second": 319.944, | |
| "eval_steps_per_second": 10.263, | |
| "eval_wer": 0.09926593259926593, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 68.87, | |
| "learning_rate": 5.53949547194521e-06, | |
| "loss": 3.6773, | |
| "step": 3650 | |
| }, | |
| { | |
| "epoch": 68.87, | |
| "eval_loss": 4.239638328552246, | |
| "eval_runtime": 2.3554, | |
| "eval_samples_per_second": 304.413, | |
| "eval_steps_per_second": 9.765, | |
| "eval_wer": 0.09876543209876543, | |
| "step": 3650 | |
| }, | |
| { | |
| "epoch": 69.81, | |
| "learning_rate": 5.247234378047524e-06, | |
| "loss": 3.6364, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 69.81, | |
| "eval_loss": 4.220588207244873, | |
| "eval_runtime": 2.4135, | |
| "eval_samples_per_second": 297.083, | |
| "eval_steps_per_second": 9.53, | |
| "eval_wer": 0.09634634634634634, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 70.75, | |
| "learning_rate": 4.960126877495005e-06, | |
| "loss": 3.6342, | |
| "step": 3750 | |
| }, | |
| { | |
| "epoch": 70.75, | |
| "eval_loss": 4.290452480316162, | |
| "eval_runtime": 2.3553, | |
| "eval_samples_per_second": 304.417, | |
| "eval_steps_per_second": 9.765, | |
| "eval_wer": 0.10176843510176843, | |
| "step": 3750 | |
| }, | |
| { | |
| "epoch": 71.7, | |
| "learning_rate": 4.67848429119466e-06, | |
| "loss": 3.7012, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 71.7, | |
| "eval_loss": 4.308350086212158, | |
| "eval_runtime": 2.3492, | |
| "eval_samples_per_second": 305.208, | |
| "eval_steps_per_second": 9.79, | |
| "eval_wer": 0.09943276609943276, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 72.64, | |
| "learning_rate": 4.402612014251967e-06, | |
| "loss": 3.4846, | |
| "step": 3850 | |
| }, | |
| { | |
| "epoch": 72.64, | |
| "eval_loss": 4.287242412567139, | |
| "eval_runtime": 2.3668, | |
| "eval_samples_per_second": 302.942, | |
| "eval_steps_per_second": 9.718, | |
| "eval_wer": 0.09759759759759759, | |
| "step": 3850 | |
| }, | |
| { | |
| "epoch": 73.58, | |
| "learning_rate": 4.132809184820095e-06, | |
| "loss": 3.4814, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 73.58, | |
| "eval_loss": 4.259552955627441, | |
| "eval_runtime": 2.2432, | |
| "eval_samples_per_second": 319.627, | |
| "eval_steps_per_second": 10.253, | |
| "eval_wer": 0.10026693360026694, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 74.53, | |
| "learning_rate": 3.869368359733711e-06, | |
| "loss": 3.3212, | |
| "step": 3950 | |
| }, | |
| { | |
| "epoch": 74.53, | |
| "eval_loss": 4.226958274841309, | |
| "eval_runtime": 2.3893, | |
| "eval_samples_per_second": 300.093, | |
| "eval_steps_per_second": 9.626, | |
| "eval_wer": 0.09642976309642977, | |
| "step": 3950 | |
| }, | |
| { | |
| "epoch": 75.47, | |
| "learning_rate": 3.6125751972791635e-06, | |
| "loss": 3.6578, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 75.47, | |
| "eval_loss": 4.247718811035156, | |
| "eval_runtime": 2.4075, | |
| "eval_samples_per_second": 297.814, | |
| "eval_steps_per_second": 9.553, | |
| "eval_wer": 0.09776443109776443, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 76.42, | |
| "learning_rate": 3.3627081474450273e-06, | |
| "loss": 3.4573, | |
| "step": 4050 | |
| }, | |
| { | |
| "epoch": 76.42, | |
| "eval_loss": 4.238850116729736, | |
| "eval_runtime": 2.3207, | |
| "eval_samples_per_second": 308.956, | |
| "eval_steps_per_second": 9.911, | |
| "eval_wer": 0.09726393059726393, | |
| "step": 4050 | |
| }, | |
| { | |
| "epoch": 77.36, | |
| "learning_rate": 3.120038149988832e-06, | |
| "loss": 3.5776, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 77.36, | |
| "eval_loss": 4.282679557800293, | |
| "eval_runtime": 2.3987, | |
| "eval_samples_per_second": 298.911, | |
| "eval_steps_per_second": 9.589, | |
| "eval_wer": 0.09893226559893227, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 78.3, | |
| "learning_rate": 2.884828340647414e-06, | |
| "loss": 3.5116, | |
| "step": 4150 | |
| }, | |
| { | |
| "epoch": 78.3, | |
| "eval_loss": 4.324526786804199, | |
| "eval_runtime": 2.3498, | |
| "eval_samples_per_second": 305.135, | |
| "eval_steps_per_second": 9.788, | |
| "eval_wer": 0.10018351685018352, | |
| "step": 4150 | |
| }, | |
| { | |
| "epoch": 79.25, | |
| "learning_rate": 2.657333765809459e-06, | |
| "loss": 3.3334, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 79.25, | |
| "eval_loss": 4.270716667175293, | |
| "eval_runtime": 2.4082, | |
| "eval_samples_per_second": 297.731, | |
| "eval_steps_per_second": 9.551, | |
| "eval_wer": 0.0995995995995996, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 80.19, | |
| "learning_rate": 2.437801105959594e-06, | |
| "loss": 3.4829, | |
| "step": 4250 | |
| }, | |
| { | |
| "epoch": 80.19, | |
| "eval_loss": 4.245628833770752, | |
| "eval_runtime": 2.3251, | |
| "eval_samples_per_second": 308.368, | |
| "eval_steps_per_second": 9.892, | |
| "eval_wer": 0.09818151484818151, | |
| "step": 4250 | |
| }, | |
| { | |
| "epoch": 81.13, | |
| "learning_rate": 2.2264684081939447e-06, | |
| "loss": 3.44, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 81.13, | |
| "eval_loss": 4.284632682800293, | |
| "eval_runtime": 2.3871, | |
| "eval_samples_per_second": 300.371, | |
| "eval_steps_per_second": 9.635, | |
| "eval_wer": 0.10026693360026694, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 82.08, | |
| "learning_rate": 2.023564828097159e-06, | |
| "loss": 3.4112, | |
| "step": 4350 | |
| }, | |
| { | |
| "epoch": 82.08, | |
| "eval_loss": 4.280004501342773, | |
| "eval_runtime": 2.3804, | |
| "eval_samples_per_second": 301.204, | |
| "eval_steps_per_second": 9.662, | |
| "eval_wer": 0.09768101434768102, | |
| "step": 4350 | |
| }, | |
| { | |
| "epoch": 83.02, | |
| "learning_rate": 1.829310381260848e-06, | |
| "loss": 3.3825, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 83.02, | |
| "eval_loss": 4.256912708282471, | |
| "eval_runtime": 2.3009, | |
| "eval_samples_per_second": 311.615, | |
| "eval_steps_per_second": 9.996, | |
| "eval_wer": 0.09759759759759759, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 83.96, | |
| "learning_rate": 1.647535456169591e-06, | |
| "loss": 3.3444, | |
| "step": 4450 | |
| }, | |
| { | |
| "epoch": 83.96, | |
| "eval_loss": 4.2334303855896, | |
| "eval_runtime": 2.4524, | |
| "eval_samples_per_second": 292.361, | |
| "eval_steps_per_second": 9.378, | |
| "eval_wer": 0.09492826159492826, | |
| "step": 4450 | |
| }, | |
| { | |
| "epoch": 84.91, | |
| "learning_rate": 1.4710184570696184e-06, | |
| "loss": 3.5125, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 84.91, | |
| "eval_loss": 4.26320743560791, | |
| "eval_runtime": 2.3986, | |
| "eval_samples_per_second": 298.918, | |
| "eval_steps_per_second": 9.589, | |
| "eval_wer": 0.09784784784784785, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 85.85, | |
| "learning_rate": 1.3037497369753871e-06, | |
| "loss": 3.3393, | |
| "step": 4550 | |
| }, | |
| { | |
| "epoch": 85.85, | |
| "eval_loss": 4.25075626373291, | |
| "eval_runtime": 2.4865, | |
| "eval_samples_per_second": 288.354, | |
| "eval_steps_per_second": 9.25, | |
| "eval_wer": 0.09793126459793126, | |
| "step": 4550 | |
| }, | |
| { | |
| "epoch": 86.79, | |
| "learning_rate": 1.1459106713283286e-06, | |
| "loss": 3.4698, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 86.79, | |
| "eval_loss": 4.248310089111328, | |
| "eval_runtime": 2.3393, | |
| "eval_samples_per_second": 306.501, | |
| "eval_steps_per_second": 9.832, | |
| "eval_wer": 0.10001668335001668, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 87.74, | |
| "learning_rate": 9.976724106591128e-07, | |
| "loss": 3.3466, | |
| "step": 4650 | |
| }, | |
| { | |
| "epoch": 87.74, | |
| "eval_loss": 4.256034851074219, | |
| "eval_runtime": 2.41, | |
| "eval_samples_per_second": 297.505, | |
| "eval_steps_per_second": 9.543, | |
| "eval_wer": 0.09851518184851518, | |
| "step": 4650 | |
| }, | |
| { | |
| "epoch": 88.68, | |
| "learning_rate": 8.591956950030067e-07, | |
| "loss": 3.3808, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 88.68, | |
| "eval_loss": 4.255034446716309, | |
| "eval_runtime": 2.293, | |
| "eval_samples_per_second": 312.694, | |
| "eval_steps_per_second": 10.031, | |
| "eval_wer": 0.09734734734734735, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 89.62, | |
| "learning_rate": 7.306306796037188e-07, | |
| "loss": 3.3442, | |
| "step": 4750 | |
| }, | |
| { | |
| "epoch": 89.62, | |
| "eval_loss": 4.2573628425598145, | |
| "eval_runtime": 2.3853, | |
| "eval_samples_per_second": 300.593, | |
| "eval_steps_per_second": 9.642, | |
| "eval_wer": 0.09818151484818151, | |
| "step": 4750 | |
| }, | |
| { | |
| "epoch": 90.57, | |
| "learning_rate": 6.121167720947174e-07, | |
| "loss": 3.0359, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 90.57, | |
| "eval_loss": 4.257233142852783, | |
| "eval_runtime": 2.3441, | |
| "eval_samples_per_second": 305.87, | |
| "eval_steps_per_second": 9.812, | |
| "eval_wer": 0.09934934934934934, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 91.51, | |
| "learning_rate": 5.037824813345571e-07, | |
| "loss": 3.5286, | |
| "step": 4850 | |
| }, | |
| { | |
| "epoch": 91.51, | |
| "eval_loss": 4.250905513763428, | |
| "eval_runtime": 2.4654, | |
| "eval_samples_per_second": 290.825, | |
| "eval_steps_per_second": 9.329, | |
| "eval_wer": 0.09934934934934934, | |
| "step": 4850 | |
| }, | |
| { | |
| "epoch": 92.45, | |
| "learning_rate": 4.057452780601334e-07, | |
| "loss": 3.0826, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 92.45, | |
| "eval_loss": 4.240777492523193, | |
| "eval_runtime": 2.4178, | |
| "eval_samples_per_second": 296.545, | |
| "eval_steps_per_second": 9.513, | |
| "eval_wer": 0.09768101434768102, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 93.4, | |
| "learning_rate": 3.1811146750898025e-07, | |
| "loss": 3.513, | |
| "step": 4950 | |
| }, | |
| { | |
| "epoch": 93.4, | |
| "eval_loss": 4.253066539764404, | |
| "eval_runtime": 2.2776, | |
| "eval_samples_per_second": 314.806, | |
| "eval_steps_per_second": 10.098, | |
| "eval_wer": 0.09901568234901569, | |
| "step": 4950 | |
| }, | |
| { | |
| "epoch": 94.34, | |
| "learning_rate": 2.4097607414869995e-07, | |
| "loss": 3.272, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 94.34, | |
| "eval_loss": 4.255825996398926, | |
| "eval_runtime": 2.3617, | |
| "eval_samples_per_second": 303.593, | |
| "eval_steps_per_second": 9.739, | |
| "eval_wer": 0.09951618284951619, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 95.28, | |
| "learning_rate": 1.7442273863854553e-07, | |
| "loss": 3.2433, | |
| "step": 5050 | |
| }, | |
| { | |
| "epoch": 95.28, | |
| "eval_loss": 4.2515153884887695, | |
| "eval_runtime": 2.4174, | |
| "eval_samples_per_second": 296.604, | |
| "eval_steps_per_second": 9.515, | |
| "eval_wer": 0.09918251584918251, | |
| "step": 5050 | |
| }, | |
| { | |
| "epoch": 96.23, | |
| "learning_rate": 1.185236271348722e-07, | |
| "loss": 3.3373, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 96.23, | |
| "eval_loss": 4.252400875091553, | |
| "eval_runtime": 2.3337, | |
| "eval_samples_per_second": 307.237, | |
| "eval_steps_per_second": 9.856, | |
| "eval_wer": 0.1001001001001001, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 97.17, | |
| "learning_rate": 7.33393530387927e-08, | |
| "loss": 3.2239, | |
| "step": 5150 | |
| }, | |
| { | |
| "epoch": 97.17, | |
| "eval_loss": 4.253963947296143, | |
| "eval_runtime": 2.307, | |
| "eval_samples_per_second": 310.799, | |
| "eval_steps_per_second": 9.97, | |
| "eval_wer": 0.09951618284951619, | |
| "step": 5150 | |
| }, | |
| { | |
| "epoch": 98.11, | |
| "learning_rate": 3.8918911270908745e-08, | |
| "loss": 3.4072, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 98.11, | |
| "eval_loss": 4.248571872711182, | |
| "eval_runtime": 2.3602, | |
| "eval_samples_per_second": 303.785, | |
| "eval_steps_per_second": 9.745, | |
| "eval_wer": 0.09934934934934934, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 99.06, | |
| "learning_rate": 1.5665974539441632e-08, | |
| "loss": 3.3015, | |
| "step": 5250 | |
| }, | |
| { | |
| "epoch": 99.06, | |
| "eval_loss": 4.249679088592529, | |
| "eval_runtime": 2.4076, | |
| "eval_samples_per_second": 297.807, | |
| "eval_steps_per_second": 9.553, | |
| "eval_wer": 0.09876543209876543, | |
| "step": 5250 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "learning_rate": 2.6567448613734612e-09, | |
| "loss": 3.329, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "eval_loss": 4.2488484382629395, | |
| "eval_runtime": 2.329, | |
| "eval_samples_per_second": 307.858, | |
| "eval_steps_per_second": 9.876, | |
| "eval_wer": 0.09901568234901569, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "step": 5300, | |
| "total_flos": 8.034472481207091e+16, | |
| "train_loss": 65.34310805986513, | |
| "train_runtime": 4047.7439, | |
| "train_samples_per_second": 83.602, | |
| "train_steps_per_second": 1.309 | |
| } | |
| ], | |
| "logging_steps": 50, | |
| "max_steps": 5300, | |
| "num_train_epochs": 100, | |
| "save_steps": 50, | |
| "total_flos": 8.034472481207091e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |