whisper-base-hi-2 / trainer_state.json
arun100's picture
End of training
c9218f3 verified
{
"best_metric": 28.648953267516852,
"best_model_checkpoint": "./checkpoint-5000",
"epoch": 65.012,
"eval_steps": 500,
"global_step": 5000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 4.8e-08,
"loss": 1.6929,
"step": 25
},
{
"epoch": 0.01,
"learning_rate": 9.8e-08,
"loss": 1.6161,
"step": 50
},
{
"epoch": 0.01,
"learning_rate": 1.4799999999999998e-07,
"loss": 1.5665,
"step": 75
},
{
"epoch": 1.0,
"learning_rate": 1.98e-07,
"loss": 1.5875,
"step": 100
},
{
"epoch": 1.01,
"learning_rate": 2.48e-07,
"loss": 1.4633,
"step": 125
},
{
"epoch": 1.01,
"learning_rate": 2.98e-07,
"loss": 1.3517,
"step": 150
},
{
"epoch": 2.0,
"learning_rate": 3.4799999999999994e-07,
"loss": 1.3473,
"step": 175
},
{
"epoch": 2.01,
"learning_rate": 3.98e-07,
"loss": 1.2353,
"step": 200
},
{
"epoch": 2.01,
"learning_rate": 4.48e-07,
"loss": 1.1232,
"step": 225
},
{
"epoch": 3.0,
"learning_rate": 4.979999999999999e-07,
"loss": 1.0898,
"step": 250
},
{
"epoch": 3.01,
"learning_rate": 5.48e-07,
"loss": 0.9945,
"step": 275
},
{
"epoch": 3.01,
"learning_rate": 5.979999999999999e-07,
"loss": 0.8935,
"step": 300
},
{
"epoch": 4.0,
"learning_rate": 6.48e-07,
"loss": 0.8898,
"step": 325
},
{
"epoch": 4.01,
"learning_rate": 6.979999999999999e-07,
"loss": 0.8355,
"step": 350
},
{
"epoch": 4.01,
"learning_rate": 7.48e-07,
"loss": 0.7488,
"step": 375
},
{
"epoch": 5.0,
"learning_rate": 7.98e-07,
"loss": 0.7638,
"step": 400
},
{
"epoch": 5.01,
"learning_rate": 8.48e-07,
"loss": 0.7228,
"step": 425
},
{
"epoch": 5.01,
"learning_rate": 8.98e-07,
"loss": 0.6542,
"step": 450
},
{
"epoch": 6.0,
"learning_rate": 9.479999999999999e-07,
"loss": 0.6631,
"step": 475
},
{
"epoch": 6.01,
"learning_rate": 9.98e-07,
"loss": 0.6425,
"step": 500
},
{
"epoch": 6.01,
"eval_loss": 0.702507495880127,
"eval_runtime": 521.2801,
"eval_samples_per_second": 5.96,
"eval_steps_per_second": 0.188,
"eval_wer": 41.44768424787627,
"step": 500
},
{
"epoch": 6.01,
"learning_rate": 9.946666666666666e-07,
"loss": 0.5748,
"step": 525
},
{
"epoch": 7.0,
"learning_rate": 9.891111111111112e-07,
"loss": 0.5951,
"step": 550
},
{
"epoch": 7.01,
"learning_rate": 9.835555555555554e-07,
"loss": 0.5775,
"step": 575
},
{
"epoch": 7.01,
"learning_rate": 9.78e-07,
"loss": 0.5234,
"step": 600
},
{
"epoch": 8.0,
"learning_rate": 9.724444444444444e-07,
"loss": 0.5375,
"step": 625
},
{
"epoch": 8.01,
"learning_rate": 9.668888888888888e-07,
"loss": 0.5398,
"step": 650
},
{
"epoch": 8.01,
"learning_rate": 9.613333333333334e-07,
"loss": 0.479,
"step": 675
},
{
"epoch": 9.0,
"learning_rate": 9.557777777777776e-07,
"loss": 0.4986,
"step": 700
},
{
"epoch": 9.01,
"learning_rate": 9.502222222222221e-07,
"loss": 0.5009,
"step": 725
},
{
"epoch": 9.01,
"learning_rate": 9.446666666666666e-07,
"loss": 0.4526,
"step": 750
},
{
"epoch": 10.0,
"learning_rate": 9.39111111111111e-07,
"loss": 0.4678,
"step": 775
},
{
"epoch": 10.01,
"learning_rate": 9.335555555555555e-07,
"loss": 0.4692,
"step": 800
},
{
"epoch": 10.01,
"learning_rate": 9.28e-07,
"loss": 0.4286,
"step": 825
},
{
"epoch": 11.0,
"learning_rate": 9.224444444444443e-07,
"loss": 0.4415,
"step": 850
},
{
"epoch": 11.01,
"learning_rate": 9.168888888888889e-07,
"loss": 0.4503,
"step": 875
},
{
"epoch": 11.01,
"learning_rate": 9.113333333333333e-07,
"loss": 0.4035,
"step": 900
},
{
"epoch": 12.0,
"learning_rate": 9.057777777777778e-07,
"loss": 0.4175,
"step": 925
},
{
"epoch": 12.01,
"learning_rate": 9.002222222222222e-07,
"loss": 0.4333,
"step": 950
},
{
"epoch": 12.01,
"learning_rate": 8.946666666666667e-07,
"loss": 0.3904,
"step": 975
},
{
"epoch": 13.0,
"learning_rate": 8.89111111111111e-07,
"loss": 0.3973,
"step": 1000
},
{
"epoch": 13.0,
"eval_loss": 0.5367385149002075,
"eval_runtime": 333.3595,
"eval_samples_per_second": 9.32,
"eval_steps_per_second": 0.294,
"eval_wer": 33.96923462252927,
"step": 1000
},
{
"epoch": 13.01,
"learning_rate": 8.835555555555555e-07,
"loss": 0.4134,
"step": 1025
},
{
"epoch": 13.01,
"learning_rate": 8.78e-07,
"loss": 0.3698,
"step": 1050
},
{
"epoch": 14.0,
"learning_rate": 8.724444444444444e-07,
"loss": 0.3784,
"step": 1075
},
{
"epoch": 14.01,
"learning_rate": 8.668888888888889e-07,
"loss": 0.4007,
"step": 1100
},
{
"epoch": 14.01,
"learning_rate": 8.613333333333332e-07,
"loss": 0.3591,
"step": 1125
},
{
"epoch": 15.0,
"learning_rate": 8.557777777777777e-07,
"loss": 0.3615,
"step": 1150
},
{
"epoch": 15.01,
"learning_rate": 8.502222222222221e-07,
"loss": 0.3856,
"step": 1175
},
{
"epoch": 15.01,
"learning_rate": 8.446666666666666e-07,
"loss": 0.3527,
"step": 1200
},
{
"epoch": 16.0,
"learning_rate": 8.391111111111111e-07,
"loss": 0.3435,
"step": 1225
},
{
"epoch": 16.01,
"learning_rate": 8.335555555555555e-07,
"loss": 0.3771,
"step": 1250
},
{
"epoch": 16.01,
"learning_rate": 8.28e-07,
"loss": 0.3343,
"step": 1275
},
{
"epoch": 17.0,
"learning_rate": 8.224444444444444e-07,
"loss": 0.3335,
"step": 1300
},
{
"epoch": 17.01,
"learning_rate": 8.168888888888889e-07,
"loss": 0.363,
"step": 1325
},
{
"epoch": 17.01,
"learning_rate": 8.113333333333333e-07,
"loss": 0.3262,
"step": 1350
},
{
"epoch": 18.0,
"learning_rate": 8.057777777777778e-07,
"loss": 0.3186,
"step": 1375
},
{
"epoch": 18.01,
"learning_rate": 8.002222222222222e-07,
"loss": 0.3554,
"step": 1400
},
{
"epoch": 18.01,
"learning_rate": 7.946666666666666e-07,
"loss": 0.3174,
"step": 1425
},
{
"epoch": 19.0,
"learning_rate": 7.891111111111111e-07,
"loss": 0.3104,
"step": 1450
},
{
"epoch": 19.01,
"learning_rate": 7.835555555555555e-07,
"loss": 0.3405,
"step": 1475
},
{
"epoch": 19.01,
"learning_rate": 7.78e-07,
"loss": 0.3125,
"step": 1500
},
{
"epoch": 19.01,
"eval_loss": 0.4926978647708893,
"eval_runtime": 338.2106,
"eval_samples_per_second": 9.187,
"eval_steps_per_second": 0.29,
"eval_wer": 31.44580576485567,
"step": 1500
},
{
"epoch": 20.0,
"learning_rate": 7.724444444444444e-07,
"loss": 0.2975,
"step": 1525
},
{
"epoch": 20.01,
"learning_rate": 7.668888888888888e-07,
"loss": 0.335,
"step": 1550
},
{
"epoch": 20.01,
"learning_rate": 7.613333333333333e-07,
"loss": 0.3028,
"step": 1575
},
{
"epoch": 21.0,
"learning_rate": 7.557777777777777e-07,
"loss": 0.291,
"step": 1600
},
{
"epoch": 21.01,
"learning_rate": 7.502222222222222e-07,
"loss": 0.3219,
"step": 1625
},
{
"epoch": 21.01,
"learning_rate": 7.446666666666666e-07,
"loss": 0.2992,
"step": 1650
},
{
"epoch": 22.0,
"learning_rate": 7.391111111111111e-07,
"loss": 0.2821,
"step": 1675
},
{
"epoch": 22.01,
"learning_rate": 7.335555555555554e-07,
"loss": 0.3121,
"step": 1700
},
{
"epoch": 22.01,
"learning_rate": 7.28e-07,
"loss": 0.2933,
"step": 1725
},
{
"epoch": 23.0,
"learning_rate": 7.224444444444445e-07,
"loss": 0.2704,
"step": 1750
},
{
"epoch": 23.01,
"learning_rate": 7.168888888888889e-07,
"loss": 0.3079,
"step": 1775
},
{
"epoch": 23.01,
"learning_rate": 7.113333333333334e-07,
"loss": 0.284,
"step": 1800
},
{
"epoch": 24.0,
"learning_rate": 7.057777777777777e-07,
"loss": 0.2646,
"step": 1825
},
{
"epoch": 24.01,
"learning_rate": 7.002222222222222e-07,
"loss": 0.2982,
"step": 1850
},
{
"epoch": 24.01,
"learning_rate": 6.946666666666666e-07,
"loss": 0.2794,
"step": 1875
},
{
"epoch": 24.02,
"learning_rate": 6.891111111111111e-07,
"loss": 0.26,
"step": 1900
},
{
"epoch": 25.0,
"learning_rate": 6.835555555555555e-07,
"loss": 0.294,
"step": 1925
},
{
"epoch": 25.01,
"learning_rate": 6.78e-07,
"loss": 0.2774,
"step": 1950
},
{
"epoch": 25.02,
"learning_rate": 6.724444444444444e-07,
"loss": 0.2473,
"step": 1975
},
{
"epoch": 26.0,
"learning_rate": 6.668888888888888e-07,
"loss": 0.2848,
"step": 2000
},
{
"epoch": 26.0,
"eval_loss": 0.47389376163482666,
"eval_runtime": 332.7237,
"eval_samples_per_second": 9.338,
"eval_steps_per_second": 0.295,
"eval_wer": 30.103734006804284,
"step": 2000
},
{
"epoch": 26.01,
"learning_rate": 6.613333333333333e-07,
"loss": 0.2707,
"step": 2025
},
{
"epoch": 26.01,
"learning_rate": 6.557777777777777e-07,
"loss": 0.2461,
"step": 2050
},
{
"epoch": 27.0,
"learning_rate": 6.502222222222222e-07,
"loss": 0.2753,
"step": 2075
},
{
"epoch": 27.01,
"learning_rate": 6.446666666666666e-07,
"loss": 0.2666,
"step": 2100
},
{
"epoch": 27.01,
"learning_rate": 6.39111111111111e-07,
"loss": 0.2428,
"step": 2125
},
{
"epoch": 28.0,
"learning_rate": 6.335555555555556e-07,
"loss": 0.2672,
"step": 2150
},
{
"epoch": 28.01,
"learning_rate": 6.28e-07,
"loss": 0.2628,
"step": 2175
},
{
"epoch": 28.01,
"learning_rate": 6.224444444444445e-07,
"loss": 0.2378,
"step": 2200
},
{
"epoch": 29.0,
"learning_rate": 6.168888888888889e-07,
"loss": 0.2615,
"step": 2225
},
{
"epoch": 29.01,
"learning_rate": 6.113333333333333e-07,
"loss": 0.2566,
"step": 2250
},
{
"epoch": 29.01,
"learning_rate": 6.057777777777777e-07,
"loss": 0.2334,
"step": 2275
},
{
"epoch": 30.0,
"learning_rate": 6.002222222222222e-07,
"loss": 0.2507,
"step": 2300
},
{
"epoch": 30.01,
"learning_rate": 5.946666666666667e-07,
"loss": 0.2576,
"step": 2325
},
{
"epoch": 30.01,
"learning_rate": 5.891111111111111e-07,
"loss": 0.2266,
"step": 2350
},
{
"epoch": 31.0,
"learning_rate": 5.835555555555556e-07,
"loss": 0.2519,
"step": 2375
},
{
"epoch": 31.01,
"learning_rate": 5.779999999999999e-07,
"loss": 0.2478,
"step": 2400
},
{
"epoch": 31.01,
"learning_rate": 5.724444444444444e-07,
"loss": 0.2257,
"step": 2425
},
{
"epoch": 32.0,
"learning_rate": 5.668888888888888e-07,
"loss": 0.2446,
"step": 2450
},
{
"epoch": 32.01,
"learning_rate": 5.613333333333333e-07,
"loss": 0.2452,
"step": 2475
},
{
"epoch": 32.01,
"learning_rate": 5.557777777777778e-07,
"loss": 0.2201,
"step": 2500
},
{
"epoch": 32.01,
"eval_loss": 0.46750521659851074,
"eval_runtime": 335.6468,
"eval_samples_per_second": 9.257,
"eval_steps_per_second": 0.292,
"eval_wer": 29.485921813362275,
"step": 2500
},
{
"epoch": 33.0,
"learning_rate": 5.502222222222221e-07,
"loss": 0.2385,
"step": 2525
},
{
"epoch": 33.01,
"learning_rate": 5.446666666666666e-07,
"loss": 0.2409,
"step": 2550
},
{
"epoch": 33.01,
"learning_rate": 5.39111111111111e-07,
"loss": 0.2203,
"step": 2575
},
{
"epoch": 34.0,
"learning_rate": 5.335555555555556e-07,
"loss": 0.2328,
"step": 2600
},
{
"epoch": 34.01,
"learning_rate": 5.28e-07,
"loss": 0.24,
"step": 2625
},
{
"epoch": 34.01,
"learning_rate": 5.224444444444445e-07,
"loss": 0.2136,
"step": 2650
},
{
"epoch": 35.0,
"learning_rate": 5.168888888888888e-07,
"loss": 0.2286,
"step": 2675
},
{
"epoch": 35.01,
"learning_rate": 5.113333333333333e-07,
"loss": 0.2334,
"step": 2700
},
{
"epoch": 35.01,
"learning_rate": 5.057777777777778e-07,
"loss": 0.2142,
"step": 2725
},
{
"epoch": 36.0,
"learning_rate": 5.002222222222222e-07,
"loss": 0.2218,
"step": 2750
},
{
"epoch": 36.01,
"learning_rate": 4.946666666666666e-07,
"loss": 0.2342,
"step": 2775
},
{
"epoch": 36.01,
"learning_rate": 4.891111111111111e-07,
"loss": 0.2074,
"step": 2800
},
{
"epoch": 37.0,
"learning_rate": 4.835555555555555e-07,
"loss": 0.2169,
"step": 2825
},
{
"epoch": 37.01,
"learning_rate": 4.779999999999999e-07,
"loss": 0.2273,
"step": 2850
},
{
"epoch": 37.01,
"learning_rate": 4.724444444444444e-07,
"loss": 0.2087,
"step": 2875
},
{
"epoch": 38.0,
"learning_rate": 4.668888888888889e-07,
"loss": 0.2139,
"step": 2900
},
{
"epoch": 38.01,
"learning_rate": 4.613333333333333e-07,
"loss": 0.2256,
"step": 2925
},
{
"epoch": 38.01,
"learning_rate": 4.5577777777777774e-07,
"loss": 0.2044,
"step": 2950
},
{
"epoch": 39.0,
"learning_rate": 4.5022222222222225e-07,
"loss": 0.2059,
"step": 2975
},
{
"epoch": 39.01,
"learning_rate": 4.4466666666666665e-07,
"loss": 0.2257,
"step": 3000
},
{
"epoch": 39.01,
"eval_loss": 0.46374234557151794,
"eval_runtime": 331.7281,
"eval_samples_per_second": 9.366,
"eval_steps_per_second": 0.295,
"eval_wer": 28.99334182129365,
"step": 3000
},
{
"epoch": 39.01,
"learning_rate": 4.391111111111111e-07,
"loss": 0.2031,
"step": 3025
},
{
"epoch": 40.0,
"learning_rate": 4.3355555555555556e-07,
"loss": 0.205,
"step": 3050
},
{
"epoch": 40.01,
"learning_rate": 4.2799999999999997e-07,
"loss": 0.2182,
"step": 3075
},
{
"epoch": 40.01,
"learning_rate": 4.224444444444444e-07,
"loss": 0.2037,
"step": 3100
},
{
"epoch": 41.0,
"learning_rate": 4.1688888888888883e-07,
"loss": 0.1995,
"step": 3125
},
{
"epoch": 41.01,
"learning_rate": 4.113333333333333e-07,
"loss": 0.2205,
"step": 3150
},
{
"epoch": 41.01,
"learning_rate": 4.057777777777778e-07,
"loss": 0.1982,
"step": 3175
},
{
"epoch": 42.0,
"learning_rate": 4.002222222222222e-07,
"loss": 0.1954,
"step": 3200
},
{
"epoch": 42.01,
"learning_rate": 3.9466666666666665e-07,
"loss": 0.2145,
"step": 3225
},
{
"epoch": 42.01,
"learning_rate": 3.891111111111111e-07,
"loss": 0.1975,
"step": 3250
},
{
"epoch": 43.0,
"learning_rate": 3.835555555555555e-07,
"loss": 0.1911,
"step": 3275
},
{
"epoch": 43.01,
"learning_rate": 3.7799999999999997e-07,
"loss": 0.2149,
"step": 3300
},
{
"epoch": 43.01,
"learning_rate": 3.7244444444444443e-07,
"loss": 0.1959,
"step": 3325
},
{
"epoch": 44.0,
"learning_rate": 3.668888888888889e-07,
"loss": 0.1898,
"step": 3350
},
{
"epoch": 44.01,
"learning_rate": 3.6133333333333334e-07,
"loss": 0.2104,
"step": 3375
},
{
"epoch": 44.01,
"learning_rate": 3.557777777777778e-07,
"loss": 0.1947,
"step": 3400
},
{
"epoch": 45.0,
"learning_rate": 3.502222222222222e-07,
"loss": 0.1863,
"step": 3425
},
{
"epoch": 45.01,
"learning_rate": 3.4466666666666666e-07,
"loss": 0.2093,
"step": 3450
},
{
"epoch": 45.01,
"learning_rate": 3.3911111111111106e-07,
"loss": 0.1914,
"step": 3475
},
{
"epoch": 46.0,
"learning_rate": 3.335555555555555e-07,
"loss": 0.1837,
"step": 3500
},
{
"epoch": 46.0,
"eval_loss": 0.46572384238243103,
"eval_runtime": 334.5411,
"eval_samples_per_second": 9.287,
"eval_steps_per_second": 0.293,
"eval_wer": 28.914028093757178,
"step": 3500
},
{
"epoch": 46.01,
"learning_rate": 3.28e-07,
"loss": 0.2041,
"step": 3525
},
{
"epoch": 46.01,
"learning_rate": 3.2244444444444443e-07,
"loss": 0.1936,
"step": 3550
},
{
"epoch": 47.0,
"learning_rate": 3.168888888888889e-07,
"loss": 0.1808,
"step": 3575
},
{
"epoch": 47.01,
"learning_rate": 3.1133333333333334e-07,
"loss": 0.2032,
"step": 3600
},
{
"epoch": 47.01,
"learning_rate": 3.0577777777777775e-07,
"loss": 0.1924,
"step": 3625
},
{
"epoch": 48.0,
"learning_rate": 3.002222222222222e-07,
"loss": 0.1767,
"step": 3650
},
{
"epoch": 48.01,
"learning_rate": 2.9466666666666666e-07,
"loss": 0.2025,
"step": 3675
},
{
"epoch": 48.01,
"learning_rate": 2.8911111111111106e-07,
"loss": 0.1902,
"step": 3700
},
{
"epoch": 49.0,
"learning_rate": 2.8355555555555557e-07,
"loss": 0.174,
"step": 3725
},
{
"epoch": 49.01,
"learning_rate": 2.7800000000000003e-07,
"loss": 0.2009,
"step": 3750
},
{
"epoch": 49.01,
"learning_rate": 2.7244444444444443e-07,
"loss": 0.1884,
"step": 3775
},
{
"epoch": 49.02,
"learning_rate": 2.668888888888889e-07,
"loss": 0.1728,
"step": 3800
},
{
"epoch": 50.01,
"learning_rate": 2.613333333333333e-07,
"loss": 0.1984,
"step": 3825
},
{
"epoch": 50.01,
"learning_rate": 2.5577777777777775e-07,
"loss": 0.1884,
"step": 3850
},
{
"epoch": 50.02,
"learning_rate": 2.502222222222222e-07,
"loss": 0.1717,
"step": 3875
},
{
"epoch": 51.0,
"learning_rate": 2.4466666666666666e-07,
"loss": 0.1927,
"step": 3900
},
{
"epoch": 51.01,
"learning_rate": 2.391111111111111e-07,
"loss": 0.1909,
"step": 3925
},
{
"epoch": 51.01,
"learning_rate": 2.3355555555555552e-07,
"loss": 0.1698,
"step": 3950
},
{
"epoch": 52.0,
"learning_rate": 2.28e-07,
"loss": 0.1901,
"step": 3975
},
{
"epoch": 52.01,
"learning_rate": 2.2244444444444443e-07,
"loss": 0.1897,
"step": 4000
},
{
"epoch": 52.01,
"eval_loss": 0.4658238887786865,
"eval_runtime": 335.2394,
"eval_samples_per_second": 9.268,
"eval_steps_per_second": 0.292,
"eval_wer": 28.74496462190311,
"step": 4000
},
{
"epoch": 52.01,
"learning_rate": 2.1688888888888886e-07,
"loss": 0.1677,
"step": 4025
},
{
"epoch": 53.0,
"learning_rate": 2.1133333333333335e-07,
"loss": 0.1899,
"step": 4050
},
{
"epoch": 53.01,
"learning_rate": 2.0577777777777778e-07,
"loss": 0.1883,
"step": 4075
},
{
"epoch": 53.01,
"learning_rate": 2.002222222222222e-07,
"loss": 0.1679,
"step": 4100
},
{
"epoch": 54.0,
"learning_rate": 1.9466666666666664e-07,
"loss": 0.1869,
"step": 4125
},
{
"epoch": 54.01,
"learning_rate": 1.8911111111111112e-07,
"loss": 0.1881,
"step": 4150
},
{
"epoch": 54.01,
"learning_rate": 1.8355555555555555e-07,
"loss": 0.1673,
"step": 4175
},
{
"epoch": 55.0,
"learning_rate": 1.7799999999999998e-07,
"loss": 0.1847,
"step": 4200
},
{
"epoch": 55.01,
"learning_rate": 1.7244444444444444e-07,
"loss": 0.1876,
"step": 4225
},
{
"epoch": 55.01,
"learning_rate": 1.668888888888889e-07,
"loss": 0.1667,
"step": 4250
},
{
"epoch": 56.0,
"learning_rate": 1.6133333333333332e-07,
"loss": 0.1807,
"step": 4275
},
{
"epoch": 56.01,
"learning_rate": 1.5577777777777775e-07,
"loss": 0.1851,
"step": 4300
},
{
"epoch": 56.01,
"learning_rate": 1.5022222222222224e-07,
"loss": 0.1705,
"step": 4325
},
{
"epoch": 57.0,
"learning_rate": 1.4466666666666667e-07,
"loss": 0.1773,
"step": 4350
},
{
"epoch": 57.01,
"learning_rate": 1.391111111111111e-07,
"loss": 0.1905,
"step": 4375
},
{
"epoch": 57.01,
"learning_rate": 1.3355555555555555e-07,
"loss": 0.1629,
"step": 4400
},
{
"epoch": 58.0,
"learning_rate": 1.28e-07,
"loss": 0.1774,
"step": 4425
},
{
"epoch": 58.01,
"learning_rate": 1.2244444444444444e-07,
"loss": 0.1853,
"step": 4450
},
{
"epoch": 58.01,
"learning_rate": 1.1688888888888888e-07,
"loss": 0.1659,
"step": 4475
},
{
"epoch": 59.0,
"learning_rate": 1.1133333333333334e-07,
"loss": 0.1764,
"step": 4500
},
{
"epoch": 59.0,
"eval_loss": 0.4676055610179901,
"eval_runtime": 335.034,
"eval_samples_per_second": 9.274,
"eval_steps_per_second": 0.293,
"eval_wer": 28.717830978272215,
"step": 4500
},
{
"epoch": 59.01,
"learning_rate": 1.0577777777777777e-07,
"loss": 0.1844,
"step": 4525
},
{
"epoch": 59.01,
"learning_rate": 1.0022222222222222e-07,
"loss": 0.1682,
"step": 4550
},
{
"epoch": 60.0,
"learning_rate": 9.466666666666665e-08,
"loss": 0.174,
"step": 4575
},
{
"epoch": 60.01,
"learning_rate": 8.911111111111111e-08,
"loss": 0.1835,
"step": 4600
},
{
"epoch": 60.01,
"learning_rate": 8.355555555555554e-08,
"loss": 0.166,
"step": 4625
},
{
"epoch": 61.0,
"learning_rate": 7.8e-08,
"loss": 0.1747,
"step": 4650
},
{
"epoch": 61.01,
"learning_rate": 7.244444444444445e-08,
"loss": 0.1837,
"step": 4675
},
{
"epoch": 61.01,
"learning_rate": 6.688888888888888e-08,
"loss": 0.1673,
"step": 4700
},
{
"epoch": 62.0,
"learning_rate": 6.133333333333333e-08,
"loss": 0.1741,
"step": 4725
},
{
"epoch": 62.01,
"learning_rate": 5.5777777777777777e-08,
"loss": 0.1816,
"step": 4750
},
{
"epoch": 62.01,
"learning_rate": 5.022222222222222e-08,
"loss": 0.166,
"step": 4775
},
{
"epoch": 63.0,
"learning_rate": 4.466666666666666e-08,
"loss": 0.1725,
"step": 4800
},
{
"epoch": 63.01,
"learning_rate": 3.9111111111111106e-08,
"loss": 0.1849,
"step": 4825
},
{
"epoch": 63.01,
"learning_rate": 3.355555555555555e-08,
"loss": 0.1655,
"step": 4850
},
{
"epoch": 64.0,
"learning_rate": 2.8e-08,
"loss": 0.1708,
"step": 4875
},
{
"epoch": 64.01,
"learning_rate": 2.2444444444444442e-08,
"loss": 0.1835,
"step": 4900
},
{
"epoch": 64.01,
"learning_rate": 1.6888888888888886e-08,
"loss": 0.1664,
"step": 4925
},
{
"epoch": 65.0,
"learning_rate": 1.1333333333333334e-08,
"loss": 0.1673,
"step": 4950
},
{
"epoch": 65.01,
"learning_rate": 5.777777777777777e-09,
"loss": 0.1839,
"step": 4975
},
{
"epoch": 65.01,
"learning_rate": 2.2222222222222221e-10,
"loss": 0.1681,
"step": 5000
},
{
"epoch": 65.01,
"eval_loss": 0.46787169575691223,
"eval_runtime": 334.6695,
"eval_samples_per_second": 9.284,
"eval_steps_per_second": 0.293,
"eval_wer": 28.648953267516852,
"step": 5000
},
{
"epoch": 65.01,
"step": 5000,
"total_flos": 2.06793125756928e+19,
"train_loss": 0.34305178251266477,
"train_runtime": 22591.6172,
"train_samples_per_second": 14.165,
"train_steps_per_second": 0.221
}
],
"logging_steps": 25,
"max_steps": 5000,
"num_input_tokens_seen": 0,
"num_train_epochs": 9223372036854775807,
"save_steps": 500,
"total_flos": 2.06793125756928e+19,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}