| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 17.99960058580748, | |
| "global_step": 33786, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.09, | |
| "learning_rate": 1.8712499999999997e-05, | |
| "loss": 6.2099, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_loss": 3.41253662109375, | |
| "eval_runtime": 1358.074, | |
| "eval_samples_per_second": 14.868, | |
| "eval_steps_per_second": 0.465, | |
| "eval_wer": 1.0, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "learning_rate": 3.7462499999999996e-05, | |
| "loss": 2.9961, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_loss": 2.9223873615264893, | |
| "eval_runtime": 1361.8836, | |
| "eval_samples_per_second": 14.827, | |
| "eval_steps_per_second": 0.463, | |
| "eval_wer": 1.0, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "learning_rate": 5.62125e-05, | |
| "loss": 2.2147, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_loss": 0.6520791053771973, | |
| "eval_runtime": 1355.9385, | |
| "eval_samples_per_second": 14.892, | |
| "eval_steps_per_second": 0.465, | |
| "eval_wer": 0.5567824255052013, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "learning_rate": 7.49625e-05, | |
| "loss": 1.3017, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "eval_loss": 0.31525641679763794, | |
| "eval_runtime": 1371.0684, | |
| "eval_samples_per_second": 14.727, | |
| "eval_steps_per_second": 0.46, | |
| "eval_wer": 0.27607269814249236, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 7.431581352833637e-05, | |
| "loss": 1.1196, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "eval_loss": 0.24444133043289185, | |
| "eval_runtime": 1363.4869, | |
| "eval_samples_per_second": 14.809, | |
| "eval_steps_per_second": 0.463, | |
| "eval_wer": 0.23673497683411066, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 7.363162705667275e-05, | |
| "loss": 1.0712, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_loss": 0.23236490786075592, | |
| "eval_runtime": 1368.4487, | |
| "eval_samples_per_second": 14.755, | |
| "eval_steps_per_second": 0.461, | |
| "eval_wer": 0.21321861436015543, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 7.294606946983546e-05, | |
| "loss": 1.052, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "eval_loss": 0.21734564006328583, | |
| "eval_runtime": 1358.6503, | |
| "eval_samples_per_second": 14.862, | |
| "eval_steps_per_second": 0.464, | |
| "eval_wer": 0.20317428528513493, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 2.13, | |
| "learning_rate": 3.375103277334068e-05, | |
| "loss": 1.2813, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 2.13, | |
| "eval_loss": 0.332599401473999, | |
| "eval_runtime": 393.989, | |
| "eval_samples_per_second": 10.906, | |
| "eval_steps_per_second": 0.343, | |
| "eval_wer": 0.20989847979467358, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "learning_rate": 2.3423299366565682e-05, | |
| "loss": 1.2365, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "eval_loss": 0.3223731815814972, | |
| "eval_runtime": 391.7507, | |
| "eval_samples_per_second": 10.969, | |
| "eval_steps_per_second": 0.345, | |
| "eval_wer": 0.2003283560376986, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "learning_rate": 1.309556595979069e-05, | |
| "loss": 1.2193, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "eval_loss": 0.31981074810028076, | |
| "eval_runtime": 402.4439, | |
| "eval_samples_per_second": 10.677, | |
| "eval_steps_per_second": 0.335, | |
| "eval_wer": 0.19565239980464894, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "learning_rate": 2.767832553015698e-06, | |
| "loss": 1.2072, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "eval_loss": 0.3063456118106842, | |
| "eval_runtime": 396.6525, | |
| "eval_samples_per_second": 10.833, | |
| "eval_steps_per_second": 0.34, | |
| "eval_wer": 0.19327285763271923, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "learning_rate": 4.263388037141005e-05, | |
| "loss": 1.213, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "eval_loss": 0.3051116168498993, | |
| "eval_runtime": 371.5477, | |
| "eval_samples_per_second": 11.565, | |
| "eval_steps_per_second": 0.363, | |
| "eval_wer": 0.19797998690732255, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "learning_rate": 3.8585078816670256e-05, | |
| "loss": 1.2074, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "eval_loss": 0.3011966645717621, | |
| "eval_runtime": 372.0587, | |
| "eval_samples_per_second": 11.549, | |
| "eval_steps_per_second": 0.363, | |
| "eval_wer": 0.18792148549934018, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "learning_rate": 3.4536277261930465e-05, | |
| "loss": 1.1918, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "eval_loss": 0.29471954703330994, | |
| "eval_runtime": 372.8767, | |
| "eval_samples_per_second": 11.524, | |
| "eval_steps_per_second": 0.362, | |
| "eval_wer": 0.18287145276764655, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 3.0487475707190668e-05, | |
| "loss": 1.1893, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_loss": 0.28953900933265686, | |
| "eval_runtime": 372.4558, | |
| "eval_samples_per_second": 11.537, | |
| "eval_steps_per_second": 0.362, | |
| "eval_wer": 0.1807205129004437, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 4.26, | |
| "learning_rate": 2.643867415245087e-05, | |
| "loss": 1.1751, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 4.26, | |
| "eval_loss": 0.2877567410469055, | |
| "eval_runtime": 371.9244, | |
| "eval_samples_per_second": 11.553, | |
| "eval_steps_per_second": 0.363, | |
| "eval_wer": 0.17759281773122604, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 4.53, | |
| "learning_rate": 2.2389872597711073e-05, | |
| "loss": 1.1628, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 4.53, | |
| "eval_loss": 0.28352275490760803, | |
| "eval_runtime": 373.4388, | |
| "eval_samples_per_second": 11.507, | |
| "eval_steps_per_second": 0.362, | |
| "eval_wer": 0.1730727267059447, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 4.79, | |
| "learning_rate": 1.834107104297128e-05, | |
| "loss": 1.1577, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 4.79, | |
| "eval_loss": 0.28156954050064087, | |
| "eval_runtime": 371.5997, | |
| "eval_samples_per_second": 11.564, | |
| "eval_steps_per_second": 0.363, | |
| "eval_wer": 0.17605494768124527, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 5.06, | |
| "learning_rate": 1.4300367091340963e-05, | |
| "loss": 1.1448, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 5.06, | |
| "eval_loss": 0.2757455110549927, | |
| "eval_runtime": 373.7148, | |
| "eval_samples_per_second": 11.498, | |
| "eval_steps_per_second": 0.361, | |
| "eval_wer": 0.17397674491100096, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 5.33, | |
| "learning_rate": 1.0251565536601165e-05, | |
| "loss": 1.1407, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 5.33, | |
| "eval_loss": 0.2768358588218689, | |
| "eval_runtime": 373.2273, | |
| "eval_samples_per_second": 11.513, | |
| "eval_steps_per_second": 0.362, | |
| "eval_wer": 0.17976453962613131, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 5.59, | |
| "learning_rate": 6.202763981861369e-06, | |
| "loss": 1.1401, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 5.59, | |
| "eval_loss": 0.2780420780181885, | |
| "eval_runtime": 375.3753, | |
| "eval_samples_per_second": 11.447, | |
| "eval_steps_per_second": 0.36, | |
| "eval_wer": 0.18160374907779753, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 5.86, | |
| "learning_rate": 2.153962427121572e-06, | |
| "loss": 1.1333, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 5.86, | |
| "eval_loss": 0.2748132646083832, | |
| "eval_runtime": 371.6352, | |
| "eval_samples_per_second": 11.562, | |
| "eval_steps_per_second": 0.363, | |
| "eval_wer": 0.17495350021301578, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 6.13, | |
| "learning_rate": 4.029916195673358e-05, | |
| "loss": 1.1571, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 6.13, | |
| "eval_loss": 0.2807982861995697, | |
| "eval_runtime": 393.9701, | |
| "eval_samples_per_second": 10.907, | |
| "eval_steps_per_second": 0.343, | |
| "eval_wer": 0.17083865872793208, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 6.39, | |
| "learning_rate": 3.8472032742155524e-05, | |
| "loss": 1.1505, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 6.39, | |
| "eval_loss": 0.27258625626564026, | |
| "eval_runtime": 389.5937, | |
| "eval_samples_per_second": 11.029, | |
| "eval_steps_per_second": 0.347, | |
| "eval_wer": 0.16920726955329032, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 6.66, | |
| "learning_rate": 3.6648557786006625e-05, | |
| "loss": 1.1519, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 6.66, | |
| "eval_loss": 0.2748955190181732, | |
| "eval_runtime": 387.583, | |
| "eval_samples_per_second": 11.087, | |
| "eval_steps_per_second": 0.348, | |
| "eval_wer": 0.16539376746989204, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 6.93, | |
| "learning_rate": 3.482142857142857e-05, | |
| "loss": 1.136, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 6.93, | |
| "eval_loss": 0.276467502117157, | |
| "eval_runtime": 393.6733, | |
| "eval_samples_per_second": 10.915, | |
| "eval_steps_per_second": 0.343, | |
| "eval_wer": 0.16425075594625768, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 7.19, | |
| "learning_rate": 3.299429935685051e-05, | |
| "loss": 1.1326, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 7.19, | |
| "eval_loss": 0.27056241035461426, | |
| "eval_runtime": 391.6082, | |
| "eval_samples_per_second": 10.973, | |
| "eval_steps_per_second": 0.345, | |
| "eval_wer": 0.1668277273813606, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 7.46, | |
| "learning_rate": 3.116717014227246e-05, | |
| "loss": 1.1342, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 7.46, | |
| "eval_loss": 0.26654428243637085, | |
| "eval_runtime": 388.567, | |
| "eval_samples_per_second": 11.059, | |
| "eval_steps_per_second": 0.347, | |
| "eval_wer": 0.1638247243783576, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 7.72, | |
| "learning_rate": 2.9340040927694404e-05, | |
| "loss": 1.1286, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 7.72, | |
| "eval_loss": 0.2668865919113159, | |
| "eval_runtime": 384.4478, | |
| "eval_samples_per_second": 11.177, | |
| "eval_steps_per_second": 0.351, | |
| "eval_wer": 0.1635857310597795, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 7.99, | |
| "learning_rate": 2.7516565971545504e-05, | |
| "loss": 1.1243, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 7.99, | |
| "eval_loss": 0.2619013488292694, | |
| "eval_runtime": 392.1143, | |
| "eval_samples_per_second": 10.959, | |
| "eval_steps_per_second": 0.344, | |
| "eval_wer": 0.16234920041148415, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 8.26, | |
| "learning_rate": 2.5689436756967453e-05, | |
| "loss": 1.1173, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 8.26, | |
| "eval_loss": 0.2651631236076355, | |
| "eval_runtime": 388.7223, | |
| "eval_samples_per_second": 11.054, | |
| "eval_steps_per_second": 0.347, | |
| "eval_wer": 0.16037490777975208, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 8.52, | |
| "learning_rate": 2.3862307542389395e-05, | |
| "loss": 1.1129, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 8.52, | |
| "eval_loss": 0.26095372438430786, | |
| "eval_runtime": 387.1141, | |
| "eval_samples_per_second": 11.1, | |
| "eval_steps_per_second": 0.349, | |
| "eval_wer": 0.1597514469486788, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 8.79, | |
| "learning_rate": 2.203517832781134e-05, | |
| "loss": 1.1091, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 8.79, | |
| "eval_loss": 0.2608127295970917, | |
| "eval_runtime": 386.5271, | |
| "eval_samples_per_second": 11.117, | |
| "eval_steps_per_second": 0.349, | |
| "eval_wer": 0.15837983312031756, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 9.06, | |
| "learning_rate": 2.0208049113233286e-05, | |
| "loss": 1.1053, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 9.06, | |
| "eval_loss": 0.2632738947868347, | |
| "eval_runtime": 389.2784, | |
| "eval_samples_per_second": 11.038, | |
| "eval_steps_per_second": 0.347, | |
| "eval_wer": 0.1664016958134605, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 9.32, | |
| "learning_rate": 1.8384574157084387e-05, | |
| "loss": 1.1004, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 9.32, | |
| "eval_loss": 0.2594461441040039, | |
| "eval_runtime": 388.9349, | |
| "eval_samples_per_second": 11.048, | |
| "eval_steps_per_second": 0.347, | |
| "eval_wer": 0.16618348452258486, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 9.59, | |
| "learning_rate": 1.6557444942506332e-05, | |
| "loss": 1.0995, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 9.59, | |
| "eval_loss": 0.26234543323516846, | |
| "eval_runtime": 383.4387, | |
| "eval_samples_per_second": 11.206, | |
| "eval_steps_per_second": 0.352, | |
| "eval_wer": 0.15694587320884898, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 9.86, | |
| "learning_rate": 1.4730315727928276e-05, | |
| "loss": 1.0964, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 9.86, | |
| "eval_loss": 0.26244357228279114, | |
| "eval_runtime": 384.9493, | |
| "eval_samples_per_second": 11.163, | |
| "eval_steps_per_second": 0.351, | |
| "eval_wer": 0.15968910086557145, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 10.12, | |
| "learning_rate": 1.2903186513350224e-05, | |
| "loss": 1.09, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 10.12, | |
| "eval_loss": 0.2576591968536377, | |
| "eval_runtime": 391.5397, | |
| "eval_samples_per_second": 10.975, | |
| "eval_steps_per_second": 0.345, | |
| "eval_wer": 0.15782910938620281, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 10.39, | |
| "learning_rate": 1.108336581563048e-05, | |
| "loss": 1.089, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 10.39, | |
| "eval_loss": 0.25744903087615967, | |
| "eval_runtime": 384.7348, | |
| "eval_samples_per_second": 11.169, | |
| "eval_steps_per_second": 0.351, | |
| "eval_wer": 0.1531219801115995, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 10.66, | |
| "learning_rate": 9.256236601052426e-06, | |
| "loss": 1.0864, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 10.66, | |
| "eval_loss": 0.2556162476539612, | |
| "eval_runtime": 391.8515, | |
| "eval_samples_per_second": 10.966, | |
| "eval_steps_per_second": 0.345, | |
| "eval_wer": 0.15464945914772904, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 10.92, | |
| "learning_rate": 7.429107386474371e-06, | |
| "loss": 1.0806, | |
| "step": 20500 | |
| }, | |
| { | |
| "epoch": 10.92, | |
| "eval_loss": 0.2548317313194275, | |
| "eval_runtime": 384.3272, | |
| "eval_samples_per_second": 11.181, | |
| "eval_steps_per_second": 0.351, | |
| "eval_wer": 0.1583174870372102, | |
| "step": 20500 | |
| }, | |
| { | |
| "epoch": 11.19, | |
| "learning_rate": 5.6019781718963155e-06, | |
| "loss": 1.0842, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 11.19, | |
| "eval_loss": 0.25501224398612976, | |
| "eval_runtime": 383.8764, | |
| "eval_samples_per_second": 11.194, | |
| "eval_steps_per_second": 0.352, | |
| "eval_wer": 0.1542026455521265, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 11.45, | |
| "learning_rate": 3.774848957318261e-06, | |
| "loss": 1.0805, | |
| "step": 21500 | |
| }, | |
| { | |
| "epoch": 11.45, | |
| "eval_loss": 0.25607678294181824, | |
| "eval_runtime": 388.7678, | |
| "eval_samples_per_second": 11.053, | |
| "eval_steps_per_second": 0.347, | |
| "eval_wer": 0.15236343610046033, | |
| "step": 21500 | |
| }, | |
| { | |
| "epoch": 11.72, | |
| "learning_rate": 1.9477197427402063e-06, | |
| "loss": 1.0722, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 11.72, | |
| "eval_loss": 0.25402259826660156, | |
| "eval_runtime": 385.5053, | |
| "eval_samples_per_second": 11.146, | |
| "eval_steps_per_second": 0.35, | |
| "eval_wer": 0.1565614056963538, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 11.99, | |
| "learning_rate": 1.2059052816215163e-07, | |
| "loss": 1.0763, | |
| "step": 22500 | |
| }, | |
| { | |
| "epoch": 11.99, | |
| "eval_loss": 0.2549177408218384, | |
| "eval_runtime": 379.953, | |
| "eval_samples_per_second": 11.309, | |
| "eval_steps_per_second": 0.355, | |
| "eval_wer": 0.15720564855512953, | |
| "step": 22500 | |
| }, | |
| { | |
| "epoch": 12.25, | |
| "learning_rate": 2.5471119360724847e-05, | |
| "loss": 1.0835, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 12.25, | |
| "eval_loss": 0.25863561034202576, | |
| "eval_runtime": 369.3533, | |
| "eval_samples_per_second": 11.634, | |
| "eval_steps_per_second": 0.366, | |
| "eval_wer": 0.15212444278188222, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 12.52, | |
| "learning_rate": 2.4293714213804817e-05, | |
| "loss": 1.0883, | |
| "step": 23500 | |
| }, | |
| { | |
| "epoch": 12.52, | |
| "eval_loss": 0.25827670097351074, | |
| "eval_runtime": 370.2467, | |
| "eval_samples_per_second": 11.606, | |
| "eval_steps_per_second": 0.365, | |
| "eval_wer": 0.15193740453256024, | |
| "step": 23500 | |
| }, | |
| { | |
| "epoch": 12.79, | |
| "learning_rate": 2.3113949537532244e-05, | |
| "loss": 1.0888, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 12.79, | |
| "eval_loss": 0.2551300823688507, | |
| "eval_runtime": 367.9843, | |
| "eval_samples_per_second": 11.677, | |
| "eval_steps_per_second": 0.367, | |
| "eval_wer": 0.15819279487099555, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 13.05, | |
| "learning_rate": 2.1934184861259672e-05, | |
| "loss": 1.0933, | |
| "step": 24500 | |
| }, | |
| { | |
| "epoch": 13.05, | |
| "eval_loss": 0.2628032863140106, | |
| "eval_runtime": 369.9671, | |
| "eval_samples_per_second": 11.615, | |
| "eval_steps_per_second": 0.365, | |
| "eval_wer": 0.1537142679011191, | |
| "step": 24500 | |
| }, | |
| { | |
| "epoch": 13.32, | |
| "learning_rate": 2.07544201849871e-05, | |
| "loss": 1.0799, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 13.32, | |
| "eval_loss": 0.2600410580635071, | |
| "eval_runtime": 374.9827, | |
| "eval_samples_per_second": 11.459, | |
| "eval_steps_per_second": 0.36, | |
| "eval_wer": 0.150752828953521, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 13.59, | |
| "learning_rate": 1.957701503806707e-05, | |
| "loss": 1.0804, | |
| "step": 25500 | |
| }, | |
| { | |
| "epoch": 13.59, | |
| "eval_loss": 0.26200664043426514, | |
| "eval_runtime": 369.1646, | |
| "eval_samples_per_second": 11.64, | |
| "eval_steps_per_second": 0.366, | |
| "eval_wer": 0.14753161465964235, | |
| "step": 25500 | |
| }, | |
| { | |
| "epoch": 13.85, | |
| "learning_rate": 1.8397250361794498e-05, | |
| "loss": 1.0814, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 13.85, | |
| "eval_loss": 0.2537305951118469, | |
| "eval_runtime": 368.6655, | |
| "eval_samples_per_second": 11.656, | |
| "eval_steps_per_second": 0.366, | |
| "eval_wer": 0.15170880222783337, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 14.12, | |
| "learning_rate": 1.7217485685521926e-05, | |
| "loss": 1.0693, | |
| "step": 26500 | |
| }, | |
| { | |
| "epoch": 14.12, | |
| "eval_loss": 0.25602129101753235, | |
| "eval_runtime": 368.3159, | |
| "eval_samples_per_second": 11.667, | |
| "eval_steps_per_second": 0.367, | |
| "eval_wer": 0.15421303656597773, | |
| "step": 26500 | |
| }, | |
| { | |
| "epoch": 14.38, | |
| "learning_rate": 1.6037721009249354e-05, | |
| "loss": 1.0724, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 14.38, | |
| "eval_loss": 0.2540068030357361, | |
| "eval_runtime": 369.0094, | |
| "eval_samples_per_second": 11.645, | |
| "eval_steps_per_second": 0.366, | |
| "eval_wer": 0.15736151376289784, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 14.65, | |
| "learning_rate": 1.4857956332976782e-05, | |
| "loss": 1.0704, | |
| "step": 27500 | |
| }, | |
| { | |
| "epoch": 14.65, | |
| "eval_loss": 0.25483617186546326, | |
| "eval_runtime": 365.0658, | |
| "eval_samples_per_second": 11.77, | |
| "eval_steps_per_second": 0.37, | |
| "eval_wer": 0.16258819373006225, | |
| "step": 27500 | |
| }, | |
| { | |
| "epoch": 14.92, | |
| "learning_rate": 1.3678191656704208e-05, | |
| "loss": 1.0729, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 14.92, | |
| "eval_loss": 0.254844069480896, | |
| "eval_runtime": 367.5842, | |
| "eval_samples_per_second": 11.69, | |
| "eval_steps_per_second": 0.367, | |
| "eval_wer": 0.16009435040576908, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 15.18, | |
| "learning_rate": 1.2498426980431636e-05, | |
| "loss": 1.0724, | |
| "step": 28500 | |
| }, | |
| { | |
| "epoch": 15.18, | |
| "eval_loss": 0.25110504031181335, | |
| "eval_runtime": 367.3861, | |
| "eval_samples_per_second": 11.696, | |
| "eval_steps_per_second": 0.367, | |
| "eval_wer": 0.15124120660452842, | |
| "step": 28500 | |
| }, | |
| { | |
| "epoch": 15.45, | |
| "learning_rate": 1.1318662304159062e-05, | |
| "loss": 1.0655, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 15.45, | |
| "eval_loss": 0.24978148937225342, | |
| "eval_runtime": 375.4183, | |
| "eval_samples_per_second": 11.446, | |
| "eval_steps_per_second": 0.36, | |
| "eval_wer": 0.14903831166806944, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 15.98, | |
| "learning_rate": 8.963852010319007e-06, | |
| "loss": 1.0608, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 15.98, | |
| "eval_loss": 0.24873663485050201, | |
| "eval_runtime": 370.6074, | |
| "eval_samples_per_second": 11.594, | |
| "eval_steps_per_second": 0.364, | |
| "eval_wer": 0.14812390244916196, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 16.52, | |
| "learning_rate": 6.604322657773862e-06, | |
| "loss": 1.0541, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 16.52, | |
| "eval_loss": 0.2467627078294754, | |
| "eval_runtime": 371.5001, | |
| "eval_samples_per_second": 11.567, | |
| "eval_steps_per_second": 0.363, | |
| "eval_wer": 0.15039953448257948, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 17.05, | |
| "learning_rate": 4.244793305228717e-06, | |
| "loss": 1.0584, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 17.05, | |
| "eval_loss": 0.2466605007648468, | |
| "eval_runtime": 370.8863, | |
| "eval_samples_per_second": 11.586, | |
| "eval_steps_per_second": 0.364, | |
| "eval_wer": 0.1493084780282012, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 17.58, | |
| "learning_rate": 1.8852639526835713e-06, | |
| "loss": 1.0507, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 17.58, | |
| "eval_loss": 0.2480592578649521, | |
| "eval_runtime": 373.0281, | |
| "eval_samples_per_second": 11.519, | |
| "eval_steps_per_second": 0.362, | |
| "eval_wer": 0.15173997526938704, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "step": 33786, | |
| "total_flos": 9.499341430600616e+20, | |
| "train_loss": 0.16521977071390054, | |
| "train_runtime": 71350.5908, | |
| "train_samples_per_second": 60.63, | |
| "train_steps_per_second": 0.474 | |
| } | |
| ], | |
| "max_steps": 33786, | |
| "num_train_epochs": 18, | |
| "total_flos": 9.499341430600616e+20, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |