mbert-tlm-chat-en-it / trainer_state.json
Nikita Moghe Moghe
First model version
572813d
raw
history blame
15.3 kB
{
"best_metric": 1.0504688024520874,
"best_model_checkpoint": "/fs/startiger0/nmoghe/experiments/pbert/base/small/conv/en-it/mbert-tlm-chat-pe/checkpoint-225000",
"epoch": 20.0,
"global_step": 250000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.2,
"learning_rate": 4.9500000000000004e-05,
"loss": 1.8222,
"step": 2500
},
{
"epoch": 0.4,
"learning_rate": 4.9e-05,
"loss": 1.6035,
"step": 5000
},
{
"epoch": 0.6,
"learning_rate": 4.85e-05,
"loss": 1.4988,
"step": 7500
},
{
"epoch": 0.8,
"learning_rate": 4.8e-05,
"loss": 1.4465,
"step": 10000
},
{
"epoch": 1.0,
"learning_rate": 4.75e-05,
"loss": 1.3893,
"step": 12500
},
{
"epoch": 1.0,
"eval_loss": 1.4548144340515137,
"eval_runtime": 9.5125,
"eval_samples_per_second": 105.125,
"step": 12500
},
{
"epoch": 1.2,
"learning_rate": 4.7e-05,
"loss": 1.3425,
"step": 15000
},
{
"epoch": 1.4,
"learning_rate": 4.6500000000000005e-05,
"loss": 1.3139,
"step": 17500
},
{
"epoch": 1.6,
"learning_rate": 4.600000000000001e-05,
"loss": 1.2891,
"step": 20000
},
{
"epoch": 1.8,
"learning_rate": 4.55e-05,
"loss": 1.2596,
"step": 22500
},
{
"epoch": 2.0,
"learning_rate": 4.5e-05,
"loss": 1.2512,
"step": 25000
},
{
"epoch": 2.0,
"eval_loss": 1.3658138513565063,
"eval_runtime": 9.3984,
"eval_samples_per_second": 106.401,
"step": 25000
},
{
"epoch": 2.2,
"learning_rate": 4.4500000000000004e-05,
"loss": 1.2094,
"step": 27500
},
{
"epoch": 2.4,
"learning_rate": 4.4000000000000006e-05,
"loss": 1.187,
"step": 30000
},
{
"epoch": 2.6,
"learning_rate": 4.35e-05,
"loss": 1.1791,
"step": 32500
},
{
"epoch": 2.8,
"learning_rate": 4.3e-05,
"loss": 1.1635,
"step": 35000
},
{
"epoch": 3.0,
"learning_rate": 4.25e-05,
"loss": 1.1478,
"step": 37500
},
{
"epoch": 3.0,
"eval_loss": 1.2877916097640991,
"eval_runtime": 9.4132,
"eval_samples_per_second": 106.233,
"step": 37500
},
{
"epoch": 3.2,
"learning_rate": 4.2e-05,
"loss": 1.1201,
"step": 40000
},
{
"epoch": 3.4,
"learning_rate": 4.15e-05,
"loss": 1.1054,
"step": 42500
},
{
"epoch": 3.6,
"learning_rate": 4.1e-05,
"loss": 1.1036,
"step": 45000
},
{
"epoch": 3.8,
"learning_rate": 4.05e-05,
"loss": 1.0881,
"step": 47500
},
{
"epoch": 4.0,
"learning_rate": 4e-05,
"loss": 1.0839,
"step": 50000
},
{
"epoch": 4.0,
"eval_loss": 1.2922987937927246,
"eval_runtime": 9.404,
"eval_samples_per_second": 106.338,
"step": 50000
},
{
"epoch": 4.2,
"learning_rate": 3.9500000000000005e-05,
"loss": 1.0512,
"step": 52500
},
{
"epoch": 4.4,
"learning_rate": 3.9000000000000006e-05,
"loss": 1.0497,
"step": 55000
},
{
"epoch": 4.6,
"learning_rate": 3.85e-05,
"loss": 1.045,
"step": 57500
},
{
"epoch": 4.8,
"learning_rate": 3.8e-05,
"loss": 1.0245,
"step": 60000
},
{
"epoch": 5.0,
"learning_rate": 3.7500000000000003e-05,
"loss": 1.0315,
"step": 62500
},
{
"epoch": 5.0,
"eval_loss": 1.2622771263122559,
"eval_runtime": 9.3953,
"eval_samples_per_second": 106.436,
"step": 62500
},
{
"epoch": 5.2,
"learning_rate": 3.7e-05,
"loss": 0.994,
"step": 65000
},
{
"epoch": 5.4,
"learning_rate": 3.65e-05,
"loss": 0.9962,
"step": 67500
},
{
"epoch": 5.6,
"learning_rate": 3.6e-05,
"loss": 0.9982,
"step": 70000
},
{
"epoch": 5.8,
"learning_rate": 3.55e-05,
"loss": 0.9833,
"step": 72500
},
{
"epoch": 6.0,
"learning_rate": 3.5e-05,
"loss": 0.9806,
"step": 75000
},
{
"epoch": 6.0,
"eval_loss": 1.2437635660171509,
"eval_runtime": 9.3976,
"eval_samples_per_second": 106.41,
"step": 75000
},
{
"epoch": 6.2,
"learning_rate": 3.45e-05,
"loss": 0.9458,
"step": 77500
},
{
"epoch": 6.4,
"learning_rate": 3.4000000000000007e-05,
"loss": 0.9548,
"step": 80000
},
{
"epoch": 6.6,
"learning_rate": 3.35e-05,
"loss": 0.9523,
"step": 82500
},
{
"epoch": 6.8,
"learning_rate": 3.3e-05,
"loss": 0.9439,
"step": 85000
},
{
"epoch": 7.0,
"learning_rate": 3.2500000000000004e-05,
"loss": 0.9384,
"step": 87500
},
{
"epoch": 7.0,
"eval_loss": 1.1912026405334473,
"eval_runtime": 9.4045,
"eval_samples_per_second": 106.332,
"step": 87500
},
{
"epoch": 7.2,
"learning_rate": 3.2000000000000005e-05,
"loss": 0.9196,
"step": 90000
},
{
"epoch": 7.4,
"learning_rate": 3.15e-05,
"loss": 0.9098,
"step": 92500
},
{
"epoch": 7.6,
"learning_rate": 3.1e-05,
"loss": 0.9152,
"step": 95000
},
{
"epoch": 7.8,
"learning_rate": 3.05e-05,
"loss": 0.9073,
"step": 97500
},
{
"epoch": 8.0,
"learning_rate": 3e-05,
"loss": 0.8991,
"step": 100000
},
{
"epoch": 8.0,
"eval_loss": 1.1714017391204834,
"eval_runtime": 9.4059,
"eval_samples_per_second": 106.316,
"step": 100000
},
{
"epoch": 8.2,
"learning_rate": 2.95e-05,
"loss": 0.8676,
"step": 102500
},
{
"epoch": 8.4,
"learning_rate": 2.9e-05,
"loss": 0.8792,
"step": 105000
},
{
"epoch": 8.6,
"learning_rate": 2.8499999999999998e-05,
"loss": 0.872,
"step": 107500
},
{
"epoch": 8.8,
"learning_rate": 2.8000000000000003e-05,
"loss": 0.8728,
"step": 110000
},
{
"epoch": 9.0,
"learning_rate": 2.7500000000000004e-05,
"loss": 0.8617,
"step": 112500
},
{
"epoch": 9.0,
"eval_loss": 1.1749364137649536,
"eval_runtime": 9.4187,
"eval_samples_per_second": 106.171,
"step": 112500
},
{
"epoch": 9.2,
"learning_rate": 2.7000000000000002e-05,
"loss": 0.8444,
"step": 115000
},
{
"epoch": 9.4,
"learning_rate": 2.6500000000000004e-05,
"loss": 0.8463,
"step": 117500
},
{
"epoch": 9.6,
"learning_rate": 2.6000000000000002e-05,
"loss": 0.8334,
"step": 120000
},
{
"epoch": 9.8,
"learning_rate": 2.5500000000000003e-05,
"loss": 0.8304,
"step": 122500
},
{
"epoch": 10.0,
"learning_rate": 2.5e-05,
"loss": 0.8291,
"step": 125000
},
{
"epoch": 10.0,
"eval_loss": 1.1757138967514038,
"eval_runtime": 9.3955,
"eval_samples_per_second": 106.433,
"step": 125000
},
{
"epoch": 10.2,
"learning_rate": 2.45e-05,
"loss": 0.8166,
"step": 127500
},
{
"epoch": 10.4,
"learning_rate": 2.4e-05,
"loss": 0.8126,
"step": 130000
},
{
"epoch": 10.6,
"learning_rate": 2.35e-05,
"loss": 0.8102,
"step": 132500
},
{
"epoch": 10.8,
"learning_rate": 2.3000000000000003e-05,
"loss": 0.8029,
"step": 135000
},
{
"epoch": 11.0,
"learning_rate": 2.25e-05,
"loss": 0.8031,
"step": 137500
},
{
"epoch": 11.0,
"eval_loss": 1.1473666429519653,
"eval_runtime": 9.3894,
"eval_samples_per_second": 106.503,
"step": 137500
},
{
"epoch": 11.2,
"learning_rate": 2.2000000000000003e-05,
"loss": 0.7793,
"step": 140000
},
{
"epoch": 11.4,
"learning_rate": 2.15e-05,
"loss": 0.7842,
"step": 142500
},
{
"epoch": 11.6,
"learning_rate": 2.1e-05,
"loss": 0.7734,
"step": 145000
},
{
"epoch": 11.8,
"learning_rate": 2.05e-05,
"loss": 0.7817,
"step": 147500
},
{
"epoch": 12.0,
"learning_rate": 2e-05,
"loss": 0.7701,
"step": 150000
},
{
"epoch": 12.0,
"eval_loss": 1.1467667818069458,
"eval_runtime": 9.4066,
"eval_samples_per_second": 106.308,
"step": 150000
},
{
"epoch": 12.2,
"learning_rate": 1.9500000000000003e-05,
"loss": 0.7573,
"step": 152500
},
{
"epoch": 12.4,
"learning_rate": 1.9e-05,
"loss": 0.7483,
"step": 155000
},
{
"epoch": 12.6,
"learning_rate": 1.85e-05,
"loss": 0.753,
"step": 157500
},
{
"epoch": 12.8,
"learning_rate": 1.8e-05,
"loss": 0.7475,
"step": 160000
},
{
"epoch": 13.0,
"learning_rate": 1.75e-05,
"loss": 0.7395,
"step": 162500
},
{
"epoch": 13.0,
"eval_loss": 1.1321425437927246,
"eval_runtime": 9.3951,
"eval_samples_per_second": 106.438,
"step": 162500
},
{
"epoch": 13.2,
"learning_rate": 1.7000000000000003e-05,
"loss": 0.7292,
"step": 165000
},
{
"epoch": 13.4,
"learning_rate": 1.65e-05,
"loss": 0.7296,
"step": 167500
},
{
"epoch": 13.6,
"learning_rate": 1.6000000000000003e-05,
"loss": 0.719,
"step": 170000
},
{
"epoch": 13.8,
"learning_rate": 1.55e-05,
"loss": 0.7197,
"step": 172500
},
{
"epoch": 14.0,
"learning_rate": 1.5e-05,
"loss": 0.7122,
"step": 175000
},
{
"epoch": 14.0,
"eval_loss": 1.1006277799606323,
"eval_runtime": 9.3983,
"eval_samples_per_second": 106.402,
"step": 175000
},
{
"epoch": 14.2,
"learning_rate": 1.45e-05,
"loss": 0.7011,
"step": 177500
},
{
"epoch": 14.4,
"learning_rate": 1.4000000000000001e-05,
"loss": 0.7032,
"step": 180000
},
{
"epoch": 14.6,
"learning_rate": 1.3500000000000001e-05,
"loss": 0.6977,
"step": 182500
},
{
"epoch": 14.8,
"learning_rate": 1.3000000000000001e-05,
"loss": 0.7004,
"step": 185000
},
{
"epoch": 15.0,
"learning_rate": 1.25e-05,
"loss": 0.6871,
"step": 187500
},
{
"epoch": 15.0,
"eval_loss": 1.1152338981628418,
"eval_runtime": 9.3979,
"eval_samples_per_second": 106.407,
"step": 187500
},
{
"epoch": 15.2,
"learning_rate": 1.2e-05,
"loss": 0.6793,
"step": 190000
},
{
"epoch": 15.4,
"learning_rate": 1.1500000000000002e-05,
"loss": 0.6775,
"step": 192500
},
{
"epoch": 15.6,
"learning_rate": 1.1000000000000001e-05,
"loss": 0.6764,
"step": 195000
},
{
"epoch": 15.8,
"learning_rate": 1.05e-05,
"loss": 0.6731,
"step": 197500
},
{
"epoch": 16.0,
"learning_rate": 1e-05,
"loss": 0.6773,
"step": 200000
},
{
"epoch": 16.0,
"eval_loss": 1.076183795928955,
"eval_runtime": 9.4003,
"eval_samples_per_second": 106.38,
"step": 200000
},
{
"epoch": 16.2,
"learning_rate": 9.5e-06,
"loss": 0.6625,
"step": 202500
},
{
"epoch": 16.4,
"learning_rate": 9e-06,
"loss": 0.6525,
"step": 205000
},
{
"epoch": 16.6,
"learning_rate": 8.500000000000002e-06,
"loss": 0.6566,
"step": 207500
},
{
"epoch": 16.8,
"learning_rate": 8.000000000000001e-06,
"loss": 0.6557,
"step": 210000
},
{
"epoch": 17.0,
"learning_rate": 7.5e-06,
"loss": 0.653,
"step": 212500
},
{
"epoch": 17.0,
"eval_loss": 1.0961084365844727,
"eval_runtime": 9.3914,
"eval_samples_per_second": 106.48,
"step": 212500
},
{
"epoch": 17.2,
"learning_rate": 7.000000000000001e-06,
"loss": 0.6431,
"step": 215000
},
{
"epoch": 17.4,
"learning_rate": 6.5000000000000004e-06,
"loss": 0.6416,
"step": 217500
},
{
"epoch": 17.6,
"learning_rate": 6e-06,
"loss": 0.6391,
"step": 220000
},
{
"epoch": 17.8,
"learning_rate": 5.500000000000001e-06,
"loss": 0.6345,
"step": 222500
},
{
"epoch": 18.0,
"learning_rate": 5e-06,
"loss": 0.6365,
"step": 225000
},
{
"epoch": 18.0,
"eval_loss": 1.0504688024520874,
"eval_runtime": 9.4106,
"eval_samples_per_second": 106.263,
"step": 225000
},
{
"epoch": 18.2,
"learning_rate": 4.5e-06,
"loss": 0.623,
"step": 227500
},
{
"epoch": 18.4,
"learning_rate": 4.000000000000001e-06,
"loss": 0.6205,
"step": 230000
},
{
"epoch": 18.6,
"learning_rate": 3.5000000000000004e-06,
"loss": 0.6231,
"step": 232500
},
{
"epoch": 18.8,
"learning_rate": 3e-06,
"loss": 0.6235,
"step": 235000
},
{
"epoch": 19.0,
"learning_rate": 2.5e-06,
"loss": 0.6104,
"step": 237500
},
{
"epoch": 19.0,
"eval_loss": 1.0633997917175293,
"eval_runtime": 9.3934,
"eval_samples_per_second": 106.458,
"step": 237500
},
{
"epoch": 19.2,
"learning_rate": 2.0000000000000003e-06,
"loss": 0.6154,
"step": 240000
},
{
"epoch": 19.4,
"learning_rate": 1.5e-06,
"loss": 0.6103,
"step": 242500
},
{
"epoch": 19.6,
"learning_rate": 1.0000000000000002e-06,
"loss": 0.5998,
"step": 245000
},
{
"epoch": 19.8,
"learning_rate": 5.000000000000001e-07,
"loss": 0.6125,
"step": 247500
},
{
"epoch": 20.0,
"learning_rate": 0.0,
"loss": 0.6093,
"step": 250000
},
{
"epoch": 20.0,
"eval_loss": 1.0744267702102661,
"eval_runtime": 9.4035,
"eval_samples_per_second": 106.344,
"step": 250000
},
{
"epoch": 20.0,
"step": 250000,
"train_runtime": 70464.5842,
"train_samples_per_second": 3.548
}
],
"max_steps": 250000,
"num_train_epochs": 20,
"total_flos": 305681719606891488,
"trial_name": null,
"trial_params": null
}