whisper-tiny-french-cased / trainer_state.json
qanastek's picture
Upload 18 files
02845fe
raw
history blame
25.8 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 4.1952,
"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": 4.6000000000000004e-07,
"loss": 1.7953,
"step": 25
},
{
"epoch": 0.01,
"learning_rate": 9.600000000000001e-07,
"loss": 1.6464,
"step": 50
},
{
"epoch": 0.01,
"learning_rate": 1.46e-06,
"loss": 1.521,
"step": 75
},
{
"epoch": 0.02,
"learning_rate": 1.9600000000000003e-06,
"loss": 1.3862,
"step": 100
},
{
"epoch": 0.03,
"learning_rate": 2.46e-06,
"loss": 1.114,
"step": 125
},
{
"epoch": 0.03,
"learning_rate": 2.96e-06,
"loss": 1.0264,
"step": 150
},
{
"epoch": 0.04,
"learning_rate": 3.46e-06,
"loss": 0.9577,
"step": 175
},
{
"epoch": 0.04,
"learning_rate": 3.96e-06,
"loss": 0.9321,
"step": 200
},
{
"epoch": 0.04,
"learning_rate": 4.4600000000000005e-06,
"loss": 0.8744,
"step": 225
},
{
"epoch": 0.05,
"learning_rate": 4.960000000000001e-06,
"loss": 0.8655,
"step": 250
},
{
"epoch": 0.06,
"learning_rate": 5.460000000000001e-06,
"loss": 0.8481,
"step": 275
},
{
"epoch": 0.06,
"learning_rate": 5.9600000000000005e-06,
"loss": 0.8753,
"step": 300
},
{
"epoch": 0.07,
"learning_rate": 6.460000000000001e-06,
"loss": 0.8619,
"step": 325
},
{
"epoch": 0.07,
"learning_rate": 6.96e-06,
"loss": 0.8021,
"step": 350
},
{
"epoch": 0.07,
"learning_rate": 7.4600000000000006e-06,
"loss": 0.7985,
"step": 375
},
{
"epoch": 0.08,
"learning_rate": 7.960000000000002e-06,
"loss": 0.787,
"step": 400
},
{
"epoch": 0.09,
"learning_rate": 8.46e-06,
"loss": 0.766,
"step": 425
},
{
"epoch": 0.09,
"learning_rate": 8.96e-06,
"loss": 0.7584,
"step": 450
},
{
"epoch": 0.1,
"learning_rate": 9.460000000000001e-06,
"loss": 0.7492,
"step": 475
},
{
"epoch": 0.1,
"learning_rate": 9.960000000000001e-06,
"loss": 0.7711,
"step": 500
},
{
"epoch": 0.1,
"learning_rate": 9.94888888888889e-06,
"loss": 0.8271,
"step": 525
},
{
"epoch": 0.11,
"learning_rate": 9.893333333333334e-06,
"loss": 0.7849,
"step": 550
},
{
"epoch": 0.12,
"learning_rate": 9.837777777777778e-06,
"loss": 0.74,
"step": 575
},
{
"epoch": 0.12,
"learning_rate": 9.782222222222222e-06,
"loss": 0.7151,
"step": 600
},
{
"epoch": 0.12,
"learning_rate": 9.726666666666668e-06,
"loss": 0.7309,
"step": 625
},
{
"epoch": 0.13,
"learning_rate": 9.671111111111112e-06,
"loss": 0.7087,
"step": 650
},
{
"epoch": 0.14,
"learning_rate": 9.615555555555558e-06,
"loss": 0.7169,
"step": 675
},
{
"epoch": 0.14,
"learning_rate": 9.56e-06,
"loss": 0.6725,
"step": 700
},
{
"epoch": 0.14,
"learning_rate": 9.504444444444446e-06,
"loss": 0.6581,
"step": 725
},
{
"epoch": 0.15,
"learning_rate": 9.44888888888889e-06,
"loss": 0.673,
"step": 750
},
{
"epoch": 0.15,
"learning_rate": 9.393333333333334e-06,
"loss": 0.6402,
"step": 775
},
{
"epoch": 0.16,
"learning_rate": 9.33777777777778e-06,
"loss": 0.728,
"step": 800
},
{
"epoch": 0.17,
"learning_rate": 9.282222222222222e-06,
"loss": 0.7284,
"step": 825
},
{
"epoch": 0.17,
"learning_rate": 9.226666666666668e-06,
"loss": 0.7507,
"step": 850
},
{
"epoch": 0.17,
"learning_rate": 9.171111111111112e-06,
"loss": 0.7309,
"step": 875
},
{
"epoch": 0.18,
"learning_rate": 9.115555555555556e-06,
"loss": 0.713,
"step": 900
},
{
"epoch": 0.18,
"learning_rate": 9.060000000000001e-06,
"loss": 0.6999,
"step": 925
},
{
"epoch": 0.19,
"learning_rate": 9.004444444444445e-06,
"loss": 0.7197,
"step": 950
},
{
"epoch": 0.2,
"learning_rate": 8.94888888888889e-06,
"loss": 0.6895,
"step": 975
},
{
"epoch": 0.2,
"learning_rate": 8.893333333333333e-06,
"loss": 0.7185,
"step": 1000
},
{
"epoch": 0.2,
"eval_loss": 0.7607626914978027,
"eval_runtime": 2486.7575,
"eval_samples_per_second": 6.47,
"eval_steps_per_second": 0.405,
"eval_wer": 38.16357512215949,
"step": 1000
},
{
"epoch": 1.0,
"learning_rate": 8.83777777777778e-06,
"loss": 0.7057,
"step": 1025
},
{
"epoch": 1.01,
"learning_rate": 8.782222222222223e-06,
"loss": 0.6478,
"step": 1050
},
{
"epoch": 1.01,
"learning_rate": 8.726666666666667e-06,
"loss": 0.6414,
"step": 1075
},
{
"epoch": 1.02,
"learning_rate": 8.671111111111113e-06,
"loss": 0.6536,
"step": 1100
},
{
"epoch": 1.02,
"learning_rate": 8.615555555555555e-06,
"loss": 0.6539,
"step": 1125
},
{
"epoch": 1.03,
"learning_rate": 8.560000000000001e-06,
"loss": 0.6492,
"step": 1150
},
{
"epoch": 1.03,
"learning_rate": 8.504444444444445e-06,
"loss": 0.6283,
"step": 1175
},
{
"epoch": 1.04,
"learning_rate": 8.448888888888889e-06,
"loss": 0.6183,
"step": 1200
},
{
"epoch": 1.04,
"learning_rate": 8.393333333333335e-06,
"loss": 0.6249,
"step": 1225
},
{
"epoch": 1.05,
"learning_rate": 8.337777777777777e-06,
"loss": 0.6717,
"step": 1250
},
{
"epoch": 1.05,
"learning_rate": 8.282222222222223e-06,
"loss": 0.5978,
"step": 1275
},
{
"epoch": 1.06,
"learning_rate": 8.226666666666667e-06,
"loss": 0.6155,
"step": 1300
},
{
"epoch": 1.06,
"learning_rate": 8.171111111111113e-06,
"loss": 0.6114,
"step": 1325
},
{
"epoch": 1.07,
"learning_rate": 8.115555555555557e-06,
"loss": 0.611,
"step": 1350
},
{
"epoch": 1.07,
"learning_rate": 8.06e-06,
"loss": 0.5953,
"step": 1375
},
{
"epoch": 1.08,
"learning_rate": 8.004444444444445e-06,
"loss": 0.5647,
"step": 1400
},
{
"epoch": 1.08,
"learning_rate": 7.948888888888889e-06,
"loss": 0.5527,
"step": 1425
},
{
"epoch": 1.09,
"learning_rate": 7.893333333333335e-06,
"loss": 0.5348,
"step": 1450
},
{
"epoch": 1.09,
"learning_rate": 7.837777777777779e-06,
"loss": 0.6021,
"step": 1475
},
{
"epoch": 1.1,
"learning_rate": 7.782222222222223e-06,
"loss": 0.5874,
"step": 1500
},
{
"epoch": 1.1,
"learning_rate": 7.726666666666667e-06,
"loss": 0.558,
"step": 1525
},
{
"epoch": 1.11,
"learning_rate": 7.67111111111111e-06,
"loss": 0.6495,
"step": 1550
},
{
"epoch": 1.11,
"learning_rate": 7.6155555555555564e-06,
"loss": 0.6047,
"step": 1575
},
{
"epoch": 1.12,
"learning_rate": 7.5600000000000005e-06,
"loss": 0.5399,
"step": 1600
},
{
"epoch": 1.12,
"learning_rate": 7.504444444444445e-06,
"loss": 0.5474,
"step": 1625
},
{
"epoch": 1.13,
"learning_rate": 7.44888888888889e-06,
"loss": 0.5658,
"step": 1650
},
{
"epoch": 1.13,
"learning_rate": 7.393333333333333e-06,
"loss": 0.5646,
"step": 1675
},
{
"epoch": 1.14,
"learning_rate": 7.337777777777778e-06,
"loss": 0.5939,
"step": 1700
},
{
"epoch": 1.14,
"learning_rate": 7.282222222222222e-06,
"loss": 0.584,
"step": 1725
},
{
"epoch": 1.15,
"learning_rate": 7.226666666666667e-06,
"loss": 0.5925,
"step": 1750
},
{
"epoch": 1.15,
"learning_rate": 7.171111111111112e-06,
"loss": 0.5813,
"step": 1775
},
{
"epoch": 1.16,
"learning_rate": 7.115555555555557e-06,
"loss": 0.5994,
"step": 1800
},
{
"epoch": 1.16,
"learning_rate": 7.06e-06,
"loss": 0.6274,
"step": 1825
},
{
"epoch": 1.17,
"learning_rate": 7.004444444444445e-06,
"loss": 0.6248,
"step": 1850
},
{
"epoch": 1.17,
"learning_rate": 6.948888888888889e-06,
"loss": 0.606,
"step": 1875
},
{
"epoch": 1.18,
"learning_rate": 6.893333333333334e-06,
"loss": 0.5844,
"step": 1900
},
{
"epoch": 1.18,
"learning_rate": 6.837777777777779e-06,
"loss": 0.6259,
"step": 1925
},
{
"epoch": 1.19,
"learning_rate": 6.782222222222222e-06,
"loss": 0.5586,
"step": 1950
},
{
"epoch": 1.19,
"learning_rate": 6.726666666666667e-06,
"loss": 0.6175,
"step": 1975
},
{
"epoch": 1.2,
"learning_rate": 6.671111111111112e-06,
"loss": 0.6052,
"step": 2000
},
{
"epoch": 1.2,
"eval_loss": 0.6948559284210205,
"eval_runtime": 2462.093,
"eval_samples_per_second": 6.535,
"eval_steps_per_second": 0.409,
"eval_wer": 34.95125480335879,
"step": 2000
},
{
"epoch": 2.0,
"learning_rate": 6.615555555555556e-06,
"loss": 0.5687,
"step": 2025
},
{
"epoch": 2.01,
"learning_rate": 6.560000000000001e-06,
"loss": 0.7425,
"step": 2050
},
{
"epoch": 2.01,
"learning_rate": 6.504444444444446e-06,
"loss": 0.7846,
"step": 2075
},
{
"epoch": 2.02,
"learning_rate": 6.448888888888889e-06,
"loss": 0.719,
"step": 2100
},
{
"epoch": 2.02,
"learning_rate": 6.393333333333334e-06,
"loss": 0.6106,
"step": 2125
},
{
"epoch": 2.03,
"learning_rate": 6.3377777777777786e-06,
"loss": 0.5368,
"step": 2150
},
{
"epoch": 2.03,
"learning_rate": 6.282222222222223e-06,
"loss": 0.481,
"step": 2175
},
{
"epoch": 2.04,
"learning_rate": 6.2266666666666675e-06,
"loss": 0.4964,
"step": 2200
},
{
"epoch": 2.04,
"learning_rate": 6.171111111111112e-06,
"loss": 0.4791,
"step": 2225
},
{
"epoch": 2.05,
"learning_rate": 6.1155555555555555e-06,
"loss": 0.4903,
"step": 2250
},
{
"epoch": 2.05,
"learning_rate": 6.0600000000000004e-06,
"loss": 0.4848,
"step": 2275
},
{
"epoch": 2.06,
"learning_rate": 6.004444444444445e-06,
"loss": 0.5104,
"step": 2300
},
{
"epoch": 2.06,
"learning_rate": 5.948888888888889e-06,
"loss": 0.5144,
"step": 2325
},
{
"epoch": 2.07,
"learning_rate": 5.893333333333334e-06,
"loss": 0.5078,
"step": 2350
},
{
"epoch": 2.07,
"learning_rate": 5.837777777777777e-06,
"loss": 0.5206,
"step": 2375
},
{
"epoch": 2.08,
"learning_rate": 5.782222222222222e-06,
"loss": 0.5087,
"step": 2400
},
{
"epoch": 2.08,
"learning_rate": 5.726666666666667e-06,
"loss": 0.4925,
"step": 2425
},
{
"epoch": 2.09,
"learning_rate": 5.671111111111112e-06,
"loss": 0.4732,
"step": 2450
},
{
"epoch": 2.09,
"learning_rate": 5.615555555555556e-06,
"loss": 0.5057,
"step": 2475
},
{
"epoch": 2.1,
"learning_rate": 5.560000000000001e-06,
"loss": 0.4803,
"step": 2500
},
{
"epoch": 2.1,
"learning_rate": 5.504444444444444e-06,
"loss": 0.4691,
"step": 2525
},
{
"epoch": 2.11,
"learning_rate": 5.448888888888889e-06,
"loss": 0.4661,
"step": 2550
},
{
"epoch": 2.11,
"learning_rate": 5.393333333333334e-06,
"loss": 0.4578,
"step": 2575
},
{
"epoch": 2.12,
"learning_rate": 5.337777777777779e-06,
"loss": 0.4164,
"step": 2600
},
{
"epoch": 2.12,
"learning_rate": 5.282222222222223e-06,
"loss": 0.43,
"step": 2625
},
{
"epoch": 2.13,
"learning_rate": 5.226666666666667e-06,
"loss": 0.4556,
"step": 2650
},
{
"epoch": 2.13,
"learning_rate": 5.171111111111111e-06,
"loss": 0.4852,
"step": 2675
},
{
"epoch": 2.14,
"learning_rate": 5.115555555555556e-06,
"loss": 0.4722,
"step": 2700
},
{
"epoch": 2.14,
"learning_rate": 5.060000000000001e-06,
"loss": 0.4281,
"step": 2725
},
{
"epoch": 2.15,
"learning_rate": 5.004444444444445e-06,
"loss": 0.4696,
"step": 2750
},
{
"epoch": 2.15,
"learning_rate": 4.94888888888889e-06,
"loss": 0.5112,
"step": 2775
},
{
"epoch": 2.16,
"learning_rate": 4.893333333333334e-06,
"loss": 0.4951,
"step": 2800
},
{
"epoch": 2.16,
"learning_rate": 4.837777777777778e-06,
"loss": 0.4962,
"step": 2825
},
{
"epoch": 2.17,
"learning_rate": 4.7822222222222226e-06,
"loss": 0.5156,
"step": 2850
},
{
"epoch": 2.17,
"learning_rate": 4.7266666666666674e-06,
"loss": 0.4957,
"step": 2875
},
{
"epoch": 2.18,
"learning_rate": 4.6711111111111115e-06,
"loss": 0.4678,
"step": 2900
},
{
"epoch": 2.18,
"learning_rate": 4.6155555555555555e-06,
"loss": 0.5,
"step": 2925
},
{
"epoch": 2.19,
"learning_rate": 4.56e-06,
"loss": 0.4721,
"step": 2950
},
{
"epoch": 2.19,
"learning_rate": 4.504444444444444e-06,
"loss": 0.4345,
"step": 2975
},
{
"epoch": 2.2,
"learning_rate": 4.448888888888889e-06,
"loss": 0.4467,
"step": 3000
},
{
"epoch": 2.2,
"eval_loss": 0.6708351969718933,
"eval_runtime": 2295.5806,
"eval_samples_per_second": 7.009,
"eval_steps_per_second": 0.438,
"eval_wer": 34.33927131268087,
"step": 3000
},
{
"epoch": 3.0,
"learning_rate": 4.393333333333334e-06,
"loss": 0.4815,
"step": 3025
},
{
"epoch": 3.01,
"learning_rate": 4.337777777777778e-06,
"loss": 0.488,
"step": 3050
},
{
"epoch": 3.01,
"learning_rate": 4.282222222222222e-06,
"loss": 0.5183,
"step": 3075
},
{
"epoch": 3.02,
"learning_rate": 4.226666666666667e-06,
"loss": 0.5115,
"step": 3100
},
{
"epoch": 3.02,
"learning_rate": 4.171111111111111e-06,
"loss": 0.5123,
"step": 3125
},
{
"epoch": 3.03,
"learning_rate": 4.115555555555556e-06,
"loss": 0.4831,
"step": 3150
},
{
"epoch": 3.03,
"learning_rate": 4.060000000000001e-06,
"loss": 0.4807,
"step": 3175
},
{
"epoch": 3.04,
"learning_rate": 4.004444444444445e-06,
"loss": 0.4665,
"step": 3200
},
{
"epoch": 3.04,
"learning_rate": 3.948888888888889e-06,
"loss": 0.4621,
"step": 3225
},
{
"epoch": 3.05,
"learning_rate": 3.893333333333333e-06,
"loss": 0.494,
"step": 3250
},
{
"epoch": 3.05,
"learning_rate": 3.837777777777778e-06,
"loss": 0.4437,
"step": 3275
},
{
"epoch": 3.06,
"learning_rate": 3.782222222222223e-06,
"loss": 0.5556,
"step": 3300
},
{
"epoch": 3.06,
"learning_rate": 3.726666666666667e-06,
"loss": 0.5229,
"step": 3325
},
{
"epoch": 3.07,
"learning_rate": 3.6711111111111113e-06,
"loss": 0.4869,
"step": 3350
},
{
"epoch": 3.07,
"learning_rate": 3.615555555555556e-06,
"loss": 0.4771,
"step": 3375
},
{
"epoch": 3.08,
"learning_rate": 3.5600000000000002e-06,
"loss": 0.4483,
"step": 3400
},
{
"epoch": 3.08,
"learning_rate": 3.5044444444444447e-06,
"loss": 0.3973,
"step": 3425
},
{
"epoch": 3.09,
"learning_rate": 3.4488888888888896e-06,
"loss": 0.4525,
"step": 3450
},
{
"epoch": 3.09,
"learning_rate": 3.3933333333333336e-06,
"loss": 0.4284,
"step": 3475
},
{
"epoch": 3.1,
"learning_rate": 3.337777777777778e-06,
"loss": 0.4275,
"step": 3500
},
{
"epoch": 3.1,
"learning_rate": 3.282222222222223e-06,
"loss": 0.4534,
"step": 3525
},
{
"epoch": 3.11,
"learning_rate": 3.226666666666667e-06,
"loss": 0.4828,
"step": 3550
},
{
"epoch": 3.11,
"learning_rate": 3.1711111111111114e-06,
"loss": 0.4538,
"step": 3575
},
{
"epoch": 3.12,
"learning_rate": 3.1155555555555555e-06,
"loss": 0.461,
"step": 3600
},
{
"epoch": 3.12,
"learning_rate": 3.0600000000000003e-06,
"loss": 0.4601,
"step": 3625
},
{
"epoch": 3.13,
"learning_rate": 3.004444444444445e-06,
"loss": 0.4651,
"step": 3650
},
{
"epoch": 3.13,
"learning_rate": 2.948888888888889e-06,
"loss": 0.4528,
"step": 3675
},
{
"epoch": 3.14,
"learning_rate": 2.8933333333333337e-06,
"loss": 0.4504,
"step": 3700
},
{
"epoch": 3.14,
"learning_rate": 2.837777777777778e-06,
"loss": 0.4585,
"step": 3725
},
{
"epoch": 3.15,
"learning_rate": 2.7822222222222222e-06,
"loss": 0.4413,
"step": 3750
},
{
"epoch": 3.15,
"learning_rate": 2.726666666666667e-06,
"loss": 0.4486,
"step": 3775
},
{
"epoch": 3.16,
"learning_rate": 2.6711111111111116e-06,
"loss": 0.4194,
"step": 3800
},
{
"epoch": 3.16,
"learning_rate": 2.6155555555555556e-06,
"loss": 0.4928,
"step": 3825
},
{
"epoch": 3.17,
"learning_rate": 2.56e-06,
"loss": 0.4946,
"step": 3850
},
{
"epoch": 3.17,
"learning_rate": 2.504444444444445e-06,
"loss": 0.4639,
"step": 3875
},
{
"epoch": 3.18,
"learning_rate": 2.448888888888889e-06,
"loss": 0.4771,
"step": 3900
},
{
"epoch": 3.18,
"learning_rate": 2.3933333333333334e-06,
"loss": 0.4876,
"step": 3925
},
{
"epoch": 3.19,
"learning_rate": 2.337777777777778e-06,
"loss": 0.4912,
"step": 3950
},
{
"epoch": 3.19,
"learning_rate": 2.2822222222222223e-06,
"loss": 0.4738,
"step": 3975
},
{
"epoch": 3.2,
"learning_rate": 2.226666666666667e-06,
"loss": 0.4773,
"step": 4000
},
{
"epoch": 3.2,
"eval_loss": 0.6536200046539307,
"eval_runtime": 2257.5997,
"eval_samples_per_second": 7.127,
"eval_steps_per_second": 0.446,
"eval_wer": 33.21018549267043,
"step": 4000
},
{
"epoch": 4.0,
"learning_rate": 2.1711111111111113e-06,
"loss": 0.4798,
"step": 4025
},
{
"epoch": 4.01,
"learning_rate": 2.1155555555555557e-06,
"loss": 0.4668,
"step": 4050
},
{
"epoch": 4.01,
"learning_rate": 2.06e-06,
"loss": 0.4737,
"step": 4075
},
{
"epoch": 4.02,
"learning_rate": 2.008888888888889e-06,
"loss": 0.5164,
"step": 4100
},
{
"epoch": 4.02,
"learning_rate": 1.9533333333333334e-06,
"loss": 0.5055,
"step": 4125
},
{
"epoch": 4.03,
"learning_rate": 1.8977777777777779e-06,
"loss": 0.4588,
"step": 4150
},
{
"epoch": 4.03,
"learning_rate": 1.8422222222222225e-06,
"loss": 0.4409,
"step": 4175
},
{
"epoch": 4.04,
"learning_rate": 1.7866666666666668e-06,
"loss": 0.4718,
"step": 4200
},
{
"epoch": 4.04,
"learning_rate": 1.7311111111111112e-06,
"loss": 0.4616,
"step": 4225
},
{
"epoch": 4.05,
"learning_rate": 1.675555555555556e-06,
"loss": 0.4453,
"step": 4250
},
{
"epoch": 4.05,
"learning_rate": 1.6200000000000002e-06,
"loss": 0.4419,
"step": 4275
},
{
"epoch": 4.06,
"learning_rate": 1.5644444444444446e-06,
"loss": 0.5293,
"step": 4300
},
{
"epoch": 4.06,
"learning_rate": 1.5088888888888889e-06,
"loss": 0.5006,
"step": 4325
},
{
"epoch": 4.07,
"learning_rate": 1.4533333333333335e-06,
"loss": 0.541,
"step": 4350
},
{
"epoch": 4.07,
"learning_rate": 1.397777777777778e-06,
"loss": 0.5413,
"step": 4375
},
{
"epoch": 4.08,
"learning_rate": 1.3422222222222222e-06,
"loss": 0.5523,
"step": 4400
},
{
"epoch": 4.08,
"learning_rate": 1.286666666666667e-06,
"loss": 0.515,
"step": 4425
},
{
"epoch": 4.09,
"learning_rate": 1.2311111111111112e-06,
"loss": 0.4911,
"step": 4450
},
{
"epoch": 4.09,
"learning_rate": 1.1755555555555556e-06,
"loss": 0.527,
"step": 4475
},
{
"epoch": 4.1,
"learning_rate": 1.12e-06,
"loss": 0.5076,
"step": 4500
},
{
"epoch": 4.1,
"learning_rate": 1.0644444444444445e-06,
"loss": 0.4598,
"step": 4525
},
{
"epoch": 4.11,
"learning_rate": 1.008888888888889e-06,
"loss": 0.4625,
"step": 4550
},
{
"epoch": 4.11,
"learning_rate": 9.533333333333335e-07,
"loss": 0.4092,
"step": 4575
},
{
"epoch": 4.12,
"learning_rate": 8.977777777777778e-07,
"loss": 0.3465,
"step": 4600
},
{
"epoch": 4.12,
"learning_rate": 8.422222222222224e-07,
"loss": 0.3815,
"step": 4625
},
{
"epoch": 4.13,
"learning_rate": 7.866666666666667e-07,
"loss": 0.3879,
"step": 4650
},
{
"epoch": 4.13,
"learning_rate": 7.311111111111112e-07,
"loss": 0.3723,
"step": 4675
},
{
"epoch": 4.14,
"learning_rate": 6.755555555555555e-07,
"loss": 0.3688,
"step": 4700
},
{
"epoch": 4.14,
"learning_rate": 6.200000000000001e-07,
"loss": 0.3604,
"step": 4725
},
{
"epoch": 4.15,
"learning_rate": 5.644444444444445e-07,
"loss": 0.3971,
"step": 4750
},
{
"epoch": 4.15,
"learning_rate": 5.088888888888889e-07,
"loss": 0.4186,
"step": 4775
},
{
"epoch": 4.16,
"learning_rate": 4.533333333333334e-07,
"loss": 0.4418,
"step": 4800
},
{
"epoch": 4.16,
"learning_rate": 3.9777777777777783e-07,
"loss": 0.4241,
"step": 4825
},
{
"epoch": 4.17,
"learning_rate": 3.422222222222223e-07,
"loss": 0.4739,
"step": 4850
},
{
"epoch": 4.17,
"learning_rate": 2.866666666666667e-07,
"loss": 0.4342,
"step": 4875
},
{
"epoch": 4.18,
"learning_rate": 2.3111111111111112e-07,
"loss": 0.4776,
"step": 4900
},
{
"epoch": 4.18,
"learning_rate": 1.7555555555555558e-07,
"loss": 0.477,
"step": 4925
},
{
"epoch": 4.19,
"learning_rate": 1.2000000000000002e-07,
"loss": 0.4767,
"step": 4950
},
{
"epoch": 4.19,
"learning_rate": 6.444444444444445e-08,
"loss": 0.4393,
"step": 4975
},
{
"epoch": 4.2,
"learning_rate": 8.88888888888889e-09,
"loss": 0.4479,
"step": 5000
},
{
"epoch": 4.2,
"eval_loss": 0.6509412527084351,
"eval_runtime": 2321.7687,
"eval_samples_per_second": 6.93,
"eval_steps_per_second": 0.433,
"eval_wer": 33.06549172161867,
"step": 5000
},
{
"epoch": 4.2,
"step": 5000,
"total_flos": 3.93764296163328e+18,
"train_loss": 0.5807094034194946,
"train_runtime": 31914.6141,
"train_samples_per_second": 5.013,
"train_steps_per_second": 0.157
}
],
"max_steps": 5000,
"num_train_epochs": 9223372036854775807,
"total_flos": 3.93764296163328e+18,
"trial_name": null,
"trial_params": null
}