ner-bert-ingredientstesting / trainer_state.json
Shresthadev403's picture
End of training
ad892ff verified
{
"best_metric": 1.3940773010253906,
"best_model_checkpoint": "ner-bert-ingredientstesting/checkpoint-18000",
"epoch": 49.999663186258,
"eval_steps": 750,
"global_step": 37100,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"step": 742,
"total_flos": 3.211629347340288e+16,
"train_loss": 5.698867345434636,
"train_runtime": 6114.1675,
"train_samples_per_second": 15.538,
"train_steps_per_second": 0.121
},
{
"epoch": 1.01,
"learning_rate": 4.9989218328840974e-05,
"loss": 10.3965,
"step": 750
},
{
"epoch": 1.01,
"eval_loss": 9.694682121276855,
"eval_runtime": 84.6491,
"eval_samples_per_second": 59.067,
"eval_steps_per_second": 0.933,
"step": 750
},
{
"epoch": 2.02,
"learning_rate": 4.897978436657682e-05,
"loss": 4.9343,
"step": 1500
},
{
"epoch": 2.02,
"eval_loss": 3.2859976291656494,
"eval_runtime": 84.3631,
"eval_samples_per_second": 59.268,
"eval_steps_per_second": 0.936,
"step": 1500
},
{
"epoch": 3.03,
"learning_rate": 4.796900269541779e-05,
"loss": 2.8798,
"step": 2250
},
{
"epoch": 3.03,
"eval_loss": 2.4815261363983154,
"eval_runtime": 84.3896,
"eval_samples_per_second": 59.249,
"eval_steps_per_second": 0.936,
"step": 2250
},
{
"epoch": 4.04,
"learning_rate": 4.6958221024258764e-05,
"loss": 2.1885,
"step": 3000
},
{
"epoch": 4.04,
"eval_loss": 1.9960429668426514,
"eval_runtime": 84.3112,
"eval_samples_per_second": 59.304,
"eval_steps_per_second": 0.937,
"step": 3000
},
{
"epoch": 5.05,
"learning_rate": 4.594743935309973e-05,
"loss": 1.7594,
"step": 3750
},
{
"epoch": 5.05,
"eval_loss": 1.7031219005584717,
"eval_runtime": 84.3933,
"eval_samples_per_second": 59.246,
"eval_steps_per_second": 0.936,
"step": 3750
},
{
"epoch": 6.06,
"learning_rate": 4.4936657681940705e-05,
"loss": 1.4881,
"step": 4500
},
{
"epoch": 6.06,
"eval_loss": 1.558716893196106,
"eval_runtime": 84.4241,
"eval_samples_per_second": 59.225,
"eval_steps_per_second": 0.936,
"step": 4500
},
{
"epoch": 7.07,
"learning_rate": 4.392587601078167e-05,
"loss": 1.2897,
"step": 5250
},
{
"epoch": 7.07,
"eval_loss": 1.5603703260421753,
"eval_runtime": 84.4569,
"eval_samples_per_second": 59.202,
"eval_steps_per_second": 0.935,
"step": 5250
},
{
"epoch": 8.09,
"learning_rate": 4.8989218328840976e-05,
"loss": 3.6553,
"step": 6000
},
{
"epoch": 8.09,
"eval_loss": 2.3138411045074463,
"eval_runtime": 85.1227,
"eval_samples_per_second": 58.739,
"eval_steps_per_second": 0.928,
"step": 6000
},
{
"epoch": 9.1,
"learning_rate": 4.7979784366576826e-05,
"loss": 1.8488,
"step": 6750
},
{
"epoch": 9.1,
"eval_loss": 1.7765036821365356,
"eval_runtime": 84.6118,
"eval_samples_per_second": 59.093,
"eval_steps_per_second": 0.934,
"step": 6750
},
{
"epoch": 10.11,
"learning_rate": 4.696900269541779e-05,
"loss": 1.4372,
"step": 7500
},
{
"epoch": 10.11,
"eval_loss": 1.5598968267440796,
"eval_runtime": 84.6222,
"eval_samples_per_second": 59.086,
"eval_steps_per_second": 0.934,
"step": 7500
},
{
"epoch": 11.12,
"learning_rate": 4.595822102425876e-05,
"loss": 1.2011,
"step": 8250
},
{
"epoch": 11.12,
"eval_loss": 1.4957914352416992,
"eval_runtime": 84.6871,
"eval_samples_per_second": 59.041,
"eval_steps_per_second": 0.933,
"step": 8250
},
{
"epoch": 12.13,
"learning_rate": 4.4947439353099734e-05,
"loss": 1.0493,
"step": 9000
},
{
"epoch": 12.13,
"eval_loss": 1.4617092609405518,
"eval_runtime": 84.4178,
"eval_samples_per_second": 59.229,
"eval_steps_per_second": 0.936,
"step": 9000
},
{
"epoch": 13.14,
"learning_rate": 4.39366576819407e-05,
"loss": 0.922,
"step": 9750
},
{
"epoch": 13.14,
"eval_loss": 1.3600549697875977,
"eval_runtime": 84.2691,
"eval_samples_per_second": 59.334,
"eval_steps_per_second": 0.937,
"step": 9750
},
{
"epoch": 14.15,
"learning_rate": 4.949528301886793e-05,
"loss": 3.0742,
"step": 10500
},
{
"epoch": 14.15,
"eval_loss": 2.005005359649658,
"eval_runtime": 84.8703,
"eval_samples_per_second": 58.913,
"eval_steps_per_second": 0.931,
"step": 10500
},
{
"epoch": 15.16,
"learning_rate": 4.898989218328841e-05,
"loss": 1.4983,
"step": 11250
},
{
"epoch": 15.16,
"eval_loss": 1.668813705444336,
"eval_runtime": 84.5947,
"eval_samples_per_second": 59.105,
"eval_steps_per_second": 0.934,
"step": 11250
},
{
"epoch": 16.17,
"learning_rate": 4.84845013477089e-05,
"loss": 1.1598,
"step": 12000
},
{
"epoch": 16.17,
"eval_loss": 1.5255405902862549,
"eval_runtime": 84.5763,
"eval_samples_per_second": 59.118,
"eval_steps_per_second": 0.934,
"step": 12000
},
{
"epoch": 17.18,
"learning_rate": 4.7979110512129385e-05,
"loss": 0.9732,
"step": 12750
},
{
"epoch": 17.18,
"eval_loss": 1.4376968145370483,
"eval_runtime": 84.6742,
"eval_samples_per_second": 59.05,
"eval_steps_per_second": 0.933,
"step": 12750
},
{
"epoch": 18.19,
"learning_rate": 4.7473719676549865e-05,
"loss": 0.8466,
"step": 13500
},
{
"epoch": 18.19,
"eval_loss": 1.4253113269805908,
"eval_runtime": 84.5693,
"eval_samples_per_second": 59.123,
"eval_steps_per_second": 0.934,
"step": 13500
},
{
"epoch": 19.2,
"learning_rate": 4.696900269541779e-05,
"loss": 0.7497,
"step": 14250
},
{
"epoch": 19.2,
"eval_loss": 1.3664312362670898,
"eval_runtime": 84.6297,
"eval_samples_per_second": 59.081,
"eval_steps_per_second": 0.933,
"step": 14250
},
{
"epoch": 20.22,
"learning_rate": 4.899056603773585e-05,
"loss": 2.6343,
"step": 15000
},
{
"epoch": 20.22,
"eval_loss": 1.8943818807601929,
"eval_runtime": 84.158,
"eval_samples_per_second": 59.412,
"eval_steps_per_second": 0.939,
"step": 15000
},
{
"epoch": 21.23,
"learning_rate": 4.7979784366576826e-05,
"loss": 1.2528,
"step": 15750
},
{
"epoch": 21.23,
"eval_loss": 1.6253798007965088,
"eval_runtime": 83.8622,
"eval_samples_per_second": 59.622,
"eval_steps_per_second": 0.942,
"step": 15750
},
{
"epoch": 22.24,
"learning_rate": 4.696900269541779e-05,
"loss": 0.9735,
"step": 16500
},
{
"epoch": 22.24,
"eval_loss": 1.4834989309310913,
"eval_runtime": 83.8392,
"eval_samples_per_second": 59.638,
"eval_steps_per_second": 0.942,
"step": 16500
},
{
"epoch": 23.25,
"learning_rate": 4.595822102425876e-05,
"loss": 0.8205,
"step": 17250
},
{
"epoch": 23.25,
"eval_loss": 1.4433954954147339,
"eval_runtime": 83.8368,
"eval_samples_per_second": 59.64,
"eval_steps_per_second": 0.942,
"step": 17250
},
{
"epoch": 24.26,
"learning_rate": 4.4947439353099734e-05,
"loss": 0.7195,
"step": 18000
},
{
"epoch": 24.26,
"eval_loss": 1.3940773010253906,
"eval_runtime": 83.833,
"eval_samples_per_second": 59.642,
"eval_steps_per_second": 0.942,
"step": 18000
},
{
"epoch": 25.27,
"learning_rate": 4.3938005390835576e-05,
"loss": 0.633,
"step": 18750
},
{
"epoch": 25.27,
"eval_loss": 1.443783164024353,
"eval_runtime": 83.8619,
"eval_samples_per_second": 59.622,
"eval_steps_per_second": 0.942,
"step": 18750
},
{
"epoch": 26.28,
"learning_rate": 4.899056603773585e-05,
"loss": 2.3512,
"step": 19500
},
{
"epoch": 26.28,
"eval_loss": 1.8179031610488892,
"eval_runtime": 84.7172,
"eval_samples_per_second": 59.02,
"eval_steps_per_second": 0.933,
"step": 19500
},
{
"epoch": 27.29,
"learning_rate": 4.7979784366576826e-05,
"loss": 1.1042,
"step": 20250
},
{
"epoch": 27.29,
"eval_loss": 1.5888350009918213,
"eval_runtime": 84.3483,
"eval_samples_per_second": 59.278,
"eval_steps_per_second": 0.937,
"step": 20250
},
{
"epoch": 28.3,
"learning_rate": 4.696900269541779e-05,
"loss": 0.8597,
"step": 21000
},
{
"epoch": 28.3,
"eval_loss": 1.5137015581130981,
"eval_runtime": 84.2921,
"eval_samples_per_second": 59.318,
"eval_steps_per_second": 0.937,
"step": 21000
},
{
"epoch": 29.31,
"learning_rate": 4.595822102425876e-05,
"loss": 0.7273,
"step": 21750
},
{
"epoch": 29.31,
"eval_loss": 1.4939533472061157,
"eval_runtime": 84.3697,
"eval_samples_per_second": 59.263,
"eval_steps_per_second": 0.936,
"step": 21750
},
{
"epoch": 30.32,
"learning_rate": 4.4948787061994616e-05,
"loss": 0.6283,
"step": 22500
},
{
"epoch": 30.32,
"eval_loss": 1.4074889421463013,
"eval_runtime": 84.3283,
"eval_samples_per_second": 59.292,
"eval_steps_per_second": 0.937,
"step": 22500
},
{
"epoch": 31.33,
"learning_rate": 4.3939353099730465e-05,
"loss": 0.5533,
"step": 23250
},
{
"epoch": 31.33,
"eval_loss": 1.4201693534851074,
"eval_runtime": 84.3754,
"eval_samples_per_second": 59.259,
"eval_steps_per_second": 0.936,
"step": 23250
},
{
"epoch": 32.34,
"learning_rate": 4.899056603773585e-05,
"loss": 2.2264,
"step": 24000
},
{
"epoch": 32.34,
"eval_loss": 1.830324649810791,
"eval_runtime": 84.4012,
"eval_samples_per_second": 59.241,
"eval_steps_per_second": 0.936,
"step": 24000
},
{
"epoch": 33.36,
"learning_rate": 4.7979784366576826e-05,
"loss": 1.0061,
"step": 24750
},
{
"epoch": 33.36,
"eval_loss": 1.585161566734314,
"eval_runtime": 84.0634,
"eval_samples_per_second": 59.479,
"eval_steps_per_second": 0.94,
"step": 24750
},
{
"epoch": 34.37,
"learning_rate": 4.696900269541779e-05,
"loss": 0.7859,
"step": 25500
},
{
"epoch": 34.37,
"eval_loss": 1.5000197887420654,
"eval_runtime": 83.979,
"eval_samples_per_second": 59.539,
"eval_steps_per_second": 0.941,
"step": 25500
},
{
"epoch": 35.38,
"learning_rate": 4.595956873315364e-05,
"loss": 0.6611,
"step": 26250
},
{
"epoch": 35.38,
"eval_loss": 1.4847756624221802,
"eval_runtime": 84.066,
"eval_samples_per_second": 59.477,
"eval_steps_per_second": 0.94,
"step": 26250
},
{
"epoch": 36.39,
"learning_rate": 4.4948787061994616e-05,
"loss": 0.571,
"step": 27000
},
{
"epoch": 36.39,
"eval_loss": 1.4602794647216797,
"eval_runtime": 84.1634,
"eval_samples_per_second": 59.408,
"eval_steps_per_second": 0.939,
"step": 27000
},
{
"epoch": 37.4,
"learning_rate": 4.3938005390835576e-05,
"loss": 0.5044,
"step": 27750
},
{
"epoch": 37.4,
"eval_loss": 1.4159477949142456,
"eval_runtime": 84.0529,
"eval_samples_per_second": 59.486,
"eval_steps_per_second": 0.94,
"step": 27750
},
{
"epoch": 38.41,
"learning_rate": 4.899056603773585e-05,
"loss": 2.0783,
"step": 28500
},
{
"epoch": 38.41,
"eval_loss": 1.7679896354675293,
"eval_runtime": 85.4608,
"eval_samples_per_second": 58.506,
"eval_steps_per_second": 0.924,
"step": 28500
},
{
"epoch": 39.42,
"learning_rate": 4.7979784366576826e-05,
"loss": 0.9177,
"step": 29250
},
{
"epoch": 39.42,
"eval_loss": 1.6010451316833496,
"eval_runtime": 85.1034,
"eval_samples_per_second": 58.752,
"eval_steps_per_second": 0.928,
"step": 29250
},
{
"epoch": 40.43,
"learning_rate": 4.696900269541779e-05,
"loss": 0.7137,
"step": 30000
},
{
"epoch": 40.43,
"eval_loss": 1.4925891160964966,
"eval_runtime": 85.1688,
"eval_samples_per_second": 58.707,
"eval_steps_per_second": 0.928,
"step": 30000
},
{
"epoch": 41.44,
"learning_rate": 4.595956873315364e-05,
"loss": 0.596,
"step": 30750
},
{
"epoch": 41.44,
"eval_loss": 1.5095667839050293,
"eval_runtime": 85.1603,
"eval_samples_per_second": 58.713,
"eval_steps_per_second": 0.928,
"step": 30750
},
{
"epoch": 42.45,
"learning_rate": 4.4948787061994616e-05,
"loss": 0.5146,
"step": 31500
},
{
"epoch": 42.45,
"eval_loss": 1.4808692932128906,
"eval_runtime": 85.1817,
"eval_samples_per_second": 58.698,
"eval_steps_per_second": 0.927,
"step": 31500
},
{
"epoch": 43.46,
"learning_rate": 4.3938005390835576e-05,
"loss": 0.4453,
"step": 32250
},
{
"epoch": 43.46,
"eval_loss": 1.5037322044372559,
"eval_runtime": 85.2811,
"eval_samples_per_second": 58.63,
"eval_steps_per_second": 0.926,
"step": 32250
},
{
"epoch": 44.47,
"learning_rate": 4.949528301886793e-05,
"loss": 2.0138,
"step": 33000
},
{
"epoch": 44.47,
"eval_loss": 1.798643708229065,
"eval_runtime": 84.6945,
"eval_samples_per_second": 59.036,
"eval_steps_per_second": 0.933,
"step": 33000
},
{
"epoch": 45.48,
"learning_rate": 4.898989218328841e-05,
"loss": 0.8625,
"step": 33750
},
{
"epoch": 45.48,
"eval_loss": 1.6345179080963135,
"eval_runtime": 84.4707,
"eval_samples_per_second": 59.192,
"eval_steps_per_second": 0.935,
"step": 33750
},
{
"epoch": 46.49,
"learning_rate": 4.848517520215634e-05,
"loss": 0.6724,
"step": 34500
},
{
"epoch": 46.49,
"eval_loss": 1.5662704706192017,
"eval_runtime": 84.3899,
"eval_samples_per_second": 59.249,
"eval_steps_per_second": 0.936,
"step": 34500
},
{
"epoch": 47.51,
"learning_rate": 4.7979784366576826e-05,
"loss": 0.5584,
"step": 35250
},
{
"epoch": 47.51,
"eval_loss": 1.5644365549087524,
"eval_runtime": 84.4556,
"eval_samples_per_second": 59.203,
"eval_steps_per_second": 0.935,
"step": 35250
},
{
"epoch": 48.52,
"learning_rate": 4.7474393530997306e-05,
"loss": 0.4816,
"step": 36000
},
{
"epoch": 48.52,
"eval_loss": 1.5659728050231934,
"eval_runtime": 84.3909,
"eval_samples_per_second": 59.248,
"eval_steps_per_second": 0.936,
"step": 36000
},
{
"epoch": 49.53,
"learning_rate": 4.6969676549865234e-05,
"loss": 0.4128,
"step": 36750
},
{
"epoch": 49.53,
"eval_loss": 1.4841716289520264,
"eval_runtime": 84.3983,
"eval_samples_per_second": 59.243,
"eval_steps_per_second": 0.936,
"step": 36750
},
{
"epoch": 50.0,
"step": 37100,
"total_flos": 1.60568482342699e+18,
"train_loss": 0.02558288409703504,
"train_runtime": 2894.6287,
"train_samples_per_second": 1640.97,
"train_steps_per_second": 12.817
},
{
"epoch": 50.0,
"step": 37100,
"total_flos": 1.60568482342699e+18,
"train_loss": 0.0,
"train_runtime": 1.9442,
"train_samples_per_second": 2443166.931,
"train_steps_per_second": 19082.42
},
{
"epoch": 50.0,
"step": 37100,
"total_flos": 1.60568482342699e+18,
"train_loss": 0.0,
"train_runtime": 1.9174,
"train_samples_per_second": 2477257.733,
"train_steps_per_second": 19348.687
}
],
"logging_steps": 750,
"max_steps": 37100,
"num_input_tokens_seen": 0,
"num_train_epochs": 50,
"save_steps": 750,
"total_flos": 1.60568482342699e+18,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}