infinitejoy's picture
End of training
464889d
raw
history blame
14.7 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 100.0,
"global_step": 8400,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.19,
"learning_rate": 5.88e-05,
"loss": 6.951,
"step": 100
},
{
"epoch": 2.38,
"learning_rate": 0.0001188,
"loss": 3.1694,
"step": 200
},
{
"epoch": 3.57,
"learning_rate": 0.00017879999999999998,
"loss": 3.0357,
"step": 300
},
{
"epoch": 4.76,
"learning_rate": 0.0002388,
"loss": 2.8568,
"step": 400
},
{
"epoch": 5.95,
"learning_rate": 0.0002988,
"loss": 1.8805,
"step": 500
},
{
"epoch": 5.95,
"eval_loss": 0.7547174692153931,
"eval_runtime": 47.8349,
"eval_samples_per_second": 25.609,
"eval_steps_per_second": 0.815,
"eval_wer": 0.8438120450033091,
"step": 500
},
{
"epoch": 7.14,
"learning_rate": 0.0002962784810126582,
"loss": 1.5197,
"step": 600
},
{
"epoch": 8.33,
"learning_rate": 0.0002924810126582278,
"loss": 1.3887,
"step": 700
},
{
"epoch": 9.52,
"learning_rate": 0.00028868354430379743,
"loss": 1.3124,
"step": 800
},
{
"epoch": 10.71,
"learning_rate": 0.00028488607594936706,
"loss": 1.2433,
"step": 900
},
{
"epoch": 11.9,
"learning_rate": 0.0002810886075949367,
"loss": 1.2123,
"step": 1000
},
{
"epoch": 11.9,
"eval_loss": 0.47322335839271545,
"eval_runtime": 48.1093,
"eval_samples_per_second": 25.463,
"eval_steps_per_second": 0.811,
"eval_wer": 0.6542025148908008,
"step": 1000
},
{
"epoch": 13.1,
"learning_rate": 0.0002772911392405063,
"loss": 1.1794,
"step": 1100
},
{
"epoch": 14.29,
"learning_rate": 0.0002734936708860759,
"loss": 1.1509,
"step": 1200
},
{
"epoch": 15.48,
"learning_rate": 0.0002696962025316455,
"loss": 1.1197,
"step": 1300
},
{
"epoch": 16.67,
"learning_rate": 0.00026589873417721515,
"loss": 1.0924,
"step": 1400
},
{
"epoch": 17.86,
"learning_rate": 0.0002621012658227848,
"loss": 1.0822,
"step": 1500
},
{
"epoch": 17.86,
"eval_loss": 0.402739018201828,
"eval_runtime": 47.5558,
"eval_samples_per_second": 25.759,
"eval_steps_per_second": 0.82,
"eval_wer": 0.5777630708140304,
"step": 1500
},
{
"epoch": 19.05,
"learning_rate": 0.0002583037974683544,
"loss": 1.0552,
"step": 1600
},
{
"epoch": 20.24,
"learning_rate": 0.000254506329113924,
"loss": 1.0453,
"step": 1700
},
{
"epoch": 21.43,
"learning_rate": 0.00025070886075949367,
"loss": 1.0218,
"step": 1800
},
{
"epoch": 22.62,
"learning_rate": 0.0002469113924050633,
"loss": 1.024,
"step": 1900
},
{
"epoch": 23.81,
"learning_rate": 0.00024311392405063287,
"loss": 0.9938,
"step": 2000
},
{
"epoch": 23.81,
"eval_loss": 0.38469693064689636,
"eval_runtime": 47.562,
"eval_samples_per_second": 25.756,
"eval_steps_per_second": 0.82,
"eval_wer": 0.5523935583498787,
"step": 2000
},
{
"epoch": 25.0,
"learning_rate": 0.0002393164556962025,
"loss": 0.9897,
"step": 2100
},
{
"epoch": 26.19,
"learning_rate": 0.00023551898734177216,
"loss": 0.9857,
"step": 2200
},
{
"epoch": 27.38,
"learning_rate": 0.00023172151898734174,
"loss": 0.9537,
"step": 2300
},
{
"epoch": 28.57,
"learning_rate": 0.0002279240506329114,
"loss": 0.941,
"step": 2400
},
{
"epoch": 29.76,
"learning_rate": 0.000224126582278481,
"loss": 0.9383,
"step": 2500
},
{
"epoch": 29.76,
"eval_loss": 0.3845490515232086,
"eval_runtime": 47.7826,
"eval_samples_per_second": 25.637,
"eval_steps_per_second": 0.816,
"eval_wer": 0.5204059121994264,
"step": 2500
},
{
"epoch": 30.95,
"learning_rate": 0.00022032911392405062,
"loss": 0.9304,
"step": 2600
},
{
"epoch": 32.14,
"learning_rate": 0.00021653164556962025,
"loss": 0.925,
"step": 2700
},
{
"epoch": 33.33,
"learning_rate": 0.00021273417721518986,
"loss": 0.9119,
"step": 2800
},
{
"epoch": 34.52,
"learning_rate": 0.00020893670886075949,
"loss": 0.8988,
"step": 2900
},
{
"epoch": 35.71,
"learning_rate": 0.0002051392405063291,
"loss": 0.8932,
"step": 3000
},
{
"epoch": 35.71,
"eval_loss": 0.3832888603210449,
"eval_runtime": 47.4524,
"eval_samples_per_second": 25.815,
"eval_steps_per_second": 0.822,
"eval_wer": 0.529671299360247,
"step": 3000
},
{
"epoch": 36.9,
"learning_rate": 0.00020134177215189872,
"loss": 0.8709,
"step": 3100
},
{
"epoch": 38.1,
"learning_rate": 0.00019754430379746835,
"loss": 0.8767,
"step": 3200
},
{
"epoch": 39.29,
"learning_rate": 0.00019374683544303795,
"loss": 0.8677,
"step": 3300
},
{
"epoch": 40.48,
"learning_rate": 0.00018994936708860758,
"loss": 0.8642,
"step": 3400
},
{
"epoch": 41.67,
"learning_rate": 0.00018615189873417718,
"loss": 0.8495,
"step": 3500
},
{
"epoch": 41.67,
"eval_loss": 0.37586063146591187,
"eval_runtime": 47.6167,
"eval_samples_per_second": 25.726,
"eval_steps_per_second": 0.819,
"eval_wer": 0.5036399735274653,
"step": 3500
},
{
"epoch": 42.86,
"learning_rate": 0.0001823544303797468,
"loss": 0.8546,
"step": 3600
},
{
"epoch": 44.05,
"learning_rate": 0.00017855696202531644,
"loss": 0.8455,
"step": 3700
},
{
"epoch": 45.24,
"learning_rate": 0.00017475949367088604,
"loss": 0.8308,
"step": 3800
},
{
"epoch": 46.43,
"learning_rate": 0.0001709620253164557,
"loss": 0.8179,
"step": 3900
},
{
"epoch": 47.62,
"learning_rate": 0.00016716455696202527,
"loss": 0.8201,
"step": 4000
},
{
"epoch": 47.62,
"eval_loss": 0.36158040165901184,
"eval_runtime": 47.7093,
"eval_samples_per_second": 25.676,
"eval_steps_per_second": 0.817,
"eval_wer": 0.48588131480255903,
"step": 4000
},
{
"epoch": 48.81,
"learning_rate": 0.00016340506329113924,
"loss": 0.8052,
"step": 4100
},
{
"epoch": 50.0,
"learning_rate": 0.00015960759493670884,
"loss": 0.8005,
"step": 4200
},
{
"epoch": 51.19,
"learning_rate": 0.00015581012658227847,
"loss": 0.7943,
"step": 4300
},
{
"epoch": 52.38,
"learning_rate": 0.00015201265822784808,
"loss": 0.7811,
"step": 4400
},
{
"epoch": 53.57,
"learning_rate": 0.0001482151898734177,
"loss": 0.7794,
"step": 4500
},
{
"epoch": 53.57,
"eval_loss": 0.38744866847991943,
"eval_runtime": 47.4049,
"eval_samples_per_second": 25.841,
"eval_steps_per_second": 0.823,
"eval_wer": 0.49382307522611957,
"step": 4500
},
{
"epoch": 54.76,
"learning_rate": 0.00014441772151898733,
"loss": 0.7793,
"step": 4600
},
{
"epoch": 55.95,
"learning_rate": 0.00014062025316455696,
"loss": 0.7729,
"step": 4700
},
{
"epoch": 57.14,
"learning_rate": 0.00013682278481012657,
"loss": 0.76,
"step": 4800
},
{
"epoch": 58.33,
"learning_rate": 0.0001330253164556962,
"loss": 0.7593,
"step": 4900
},
{
"epoch": 59.52,
"learning_rate": 0.0001292278481012658,
"loss": 0.735,
"step": 5000
},
{
"epoch": 59.52,
"eval_loss": 0.374796986579895,
"eval_runtime": 47.4755,
"eval_samples_per_second": 25.803,
"eval_steps_per_second": 0.821,
"eval_wer": 0.47816015883520846,
"step": 5000
},
{
"epoch": 60.71,
"learning_rate": 0.00012543037974683543,
"loss": 0.7415,
"step": 5100
},
{
"epoch": 61.9,
"learning_rate": 0.00012163291139240506,
"loss": 0.7206,
"step": 5200
},
{
"epoch": 63.1,
"learning_rate": 0.00011783544303797467,
"loss": 0.7117,
"step": 5300
},
{
"epoch": 64.29,
"learning_rate": 0.00011403797468354429,
"loss": 0.7213,
"step": 5400
},
{
"epoch": 65.48,
"learning_rate": 0.0001102405063291139,
"loss": 0.7082,
"step": 5500
},
{
"epoch": 65.48,
"eval_loss": 0.3615438938140869,
"eval_runtime": 48.0099,
"eval_samples_per_second": 25.516,
"eval_steps_per_second": 0.812,
"eval_wer": 0.4674608427090227,
"step": 5500
},
{
"epoch": 66.67,
"learning_rate": 0.00010644303797468355,
"loss": 0.705,
"step": 5600
},
{
"epoch": 67.86,
"learning_rate": 0.00010264556962025316,
"loss": 0.6942,
"step": 5700
},
{
"epoch": 69.05,
"learning_rate": 9.884810126582278e-05,
"loss": 0.6894,
"step": 5800
},
{
"epoch": 70.24,
"learning_rate": 9.50506329113924e-05,
"loss": 0.6807,
"step": 5900
},
{
"epoch": 71.43,
"learning_rate": 9.129113924050632e-05,
"loss": 0.669,
"step": 6000
},
{
"epoch": 71.43,
"eval_loss": 0.3796931207180023,
"eval_runtime": 46.7914,
"eval_samples_per_second": 26.18,
"eval_steps_per_second": 0.833,
"eval_wer": 0.4600705934259872,
"step": 6000
},
{
"epoch": 72.62,
"learning_rate": 8.749367088607594e-05,
"loss": 0.6803,
"step": 6100
},
{
"epoch": 73.81,
"learning_rate": 8.369620253164557e-05,
"loss": 0.6706,
"step": 6200
},
{
"epoch": 75.0,
"learning_rate": 7.989873417721518e-05,
"loss": 0.6615,
"step": 6300
},
{
"epoch": 76.19,
"learning_rate": 7.61012658227848e-05,
"loss": 0.6541,
"step": 6400
},
{
"epoch": 77.38,
"learning_rate": 7.230379746835442e-05,
"loss": 0.6457,
"step": 6500
},
{
"epoch": 77.38,
"eval_loss": 0.38117340207099915,
"eval_runtime": 46.7869,
"eval_samples_per_second": 26.183,
"eval_steps_per_second": 0.834,
"eval_wer": 0.4514670196337966,
"step": 6500
},
{
"epoch": 78.57,
"learning_rate": 6.850632911392405e-05,
"loss": 0.6379,
"step": 6600
},
{
"epoch": 79.76,
"learning_rate": 6.470886075949366e-05,
"loss": 0.6387,
"step": 6700
},
{
"epoch": 80.95,
"learning_rate": 6.091139240506329e-05,
"loss": 0.6186,
"step": 6800
},
{
"epoch": 82.14,
"learning_rate": 5.711392405063291e-05,
"loss": 0.6095,
"step": 6900
},
{
"epoch": 83.33,
"learning_rate": 5.331645569620252e-05,
"loss": 0.6098,
"step": 7000
},
{
"epoch": 83.33,
"eval_loss": 0.3660217821598053,
"eval_runtime": 46.6679,
"eval_samples_per_second": 26.249,
"eval_steps_per_second": 0.836,
"eval_wer": 0.4342598720494154,
"step": 7000
},
{
"epoch": 84.52,
"learning_rate": 4.9518987341772145e-05,
"loss": 0.6124,
"step": 7100
},
{
"epoch": 85.71,
"learning_rate": 4.572151898734177e-05,
"loss": 0.5954,
"step": 7200
},
{
"epoch": 86.9,
"learning_rate": 4.192405063291139e-05,
"loss": 0.5993,
"step": 7300
},
{
"epoch": 88.1,
"learning_rate": 3.812658227848101e-05,
"loss": 0.5861,
"step": 7400
},
{
"epoch": 89.29,
"learning_rate": 3.432911392405063e-05,
"loss": 0.5874,
"step": 7500
},
{
"epoch": 89.29,
"eval_loss": 0.3640037775039673,
"eval_runtime": 47.0,
"eval_samples_per_second": 26.064,
"eval_steps_per_second": 0.83,
"eval_wer": 0.4256562982572248,
"step": 7500
},
{
"epoch": 90.48,
"learning_rate": 3.053164556962025e-05,
"loss": 0.5818,
"step": 7600
},
{
"epoch": 91.67,
"learning_rate": 2.673417721518987e-05,
"loss": 0.5755,
"step": 7700
},
{
"epoch": 92.86,
"learning_rate": 2.293670886075949e-05,
"loss": 0.5837,
"step": 7800
},
{
"epoch": 94.05,
"learning_rate": 1.9139240506329114e-05,
"loss": 0.5727,
"step": 7900
},
{
"epoch": 95.24,
"learning_rate": 1.5341772151898733e-05,
"loss": 0.5627,
"step": 8000
},
{
"epoch": 95.24,
"eval_loss": 0.3660779297351837,
"eval_runtime": 46.6417,
"eval_samples_per_second": 26.264,
"eval_steps_per_second": 0.836,
"eval_wer": 0.4238914626075447,
"step": 8000
},
{
"epoch": 96.43,
"learning_rate": 1.1582278481012656e-05,
"loss": 0.5602,
"step": 8100
},
{
"epoch": 97.62,
"learning_rate": 7.784810126582278e-06,
"loss": 0.5564,
"step": 8200
},
{
"epoch": 98.81,
"learning_rate": 3.987341772151899e-06,
"loss": 0.5714,
"step": 8300
},
{
"epoch": 100.0,
"learning_rate": 1.8987341772151897e-07,
"loss": 0.5538,
"step": 8400
},
{
"epoch": 100.0,
"step": 8400,
"total_flos": 4.26333780649278e+19,
"train_loss": 0.9825477345784506,
"train_runtime": 16451.1257,
"train_samples_per_second": 16.327,
"train_steps_per_second": 0.511
}
],
"max_steps": 8400,
"num_train_epochs": 100,
"total_flos": 4.26333780649278e+19,
"trial_name": null,
"trial_params": null
}