roberta-base-trained-7epochs / trainer_state.json
Rustem's picture
Upload trainer_state.json
3c62360
raw
history blame
9.49 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 7.0,
"global_step": 35000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.1,
"learning_rate": 1.9600000000000002e-05,
"loss": 1.5146,
"step": 500
},
{
"epoch": 0.2,
"learning_rate": 1.9200000000000003e-05,
"loss": 1.1216,
"step": 1000
},
{
"epoch": 0.3,
"learning_rate": 1.88e-05,
"loss": 1.0414,
"step": 1500
},
{
"epoch": 0.4,
"learning_rate": 1.8400000000000003e-05,
"loss": 1.0385,
"step": 2000
},
{
"epoch": 0.5,
"learning_rate": 1.8e-05,
"loss": 1.0463,
"step": 2500
},
{
"epoch": 0.6,
"learning_rate": 1.76e-05,
"loss": 1.0464,
"step": 3000
},
{
"epoch": 0.7,
"learning_rate": 1.72e-05,
"loss": 1.0343,
"step": 3500
},
{
"epoch": 0.8,
"learning_rate": 1.6800000000000002e-05,
"loss": 1.0375,
"step": 4000
},
{
"epoch": 0.9,
"learning_rate": 1.64e-05,
"loss": 1.0389,
"step": 4500
},
{
"epoch": 1.0,
"learning_rate": 1.6000000000000003e-05,
"loss": 1.0303,
"step": 5000
},
{
"epoch": 1.0,
"eval_loss": 0.9517383575439453,
"eval_runtime": 520.9725,
"eval_samples_per_second": 19.195,
"eval_steps_per_second": 2.399,
"step": 5000
},
{
"epoch": 1.1,
"learning_rate": 1.5600000000000003e-05,
"loss": 1.0216,
"step": 5500
},
{
"epoch": 1.2,
"learning_rate": 1.5200000000000002e-05,
"loss": 1.0131,
"step": 6000
},
{
"epoch": 1.3,
"learning_rate": 1.48e-05,
"loss": 1.0193,
"step": 6500
},
{
"epoch": 1.4,
"learning_rate": 1.4400000000000001e-05,
"loss": 1.0079,
"step": 7000
},
{
"epoch": 1.5,
"learning_rate": 1.4e-05,
"loss": 1.0117,
"step": 7500
},
{
"epoch": 1.6,
"learning_rate": 1.3600000000000002e-05,
"loss": 1.0169,
"step": 8000
},
{
"epoch": 1.7,
"learning_rate": 1.3200000000000002e-05,
"loss": 1.0274,
"step": 8500
},
{
"epoch": 1.8,
"learning_rate": 1.2800000000000001e-05,
"loss": 1.0096,
"step": 9000
},
{
"epoch": 1.9,
"learning_rate": 1.2400000000000002e-05,
"loss": 1.009,
"step": 9500
},
{
"epoch": 2.0,
"learning_rate": 1.2e-05,
"loss": 1.01,
"step": 10000
},
{
"epoch": 2.0,
"eval_loss": 0.9439992308616638,
"eval_runtime": 529.1205,
"eval_samples_per_second": 18.899,
"eval_steps_per_second": 2.362,
"step": 10000
},
{
"epoch": 2.1,
"learning_rate": 1.16e-05,
"loss": 0.9979,
"step": 10500
},
{
"epoch": 2.2,
"learning_rate": 1.1200000000000001e-05,
"loss": 0.9961,
"step": 11000
},
{
"epoch": 2.3,
"learning_rate": 1.0800000000000002e-05,
"loss": 0.9941,
"step": 11500
},
{
"epoch": 2.4,
"learning_rate": 1.04e-05,
"loss": 0.9823,
"step": 12000
},
{
"epoch": 2.5,
"learning_rate": 1e-05,
"loss": 0.9886,
"step": 12500
},
{
"epoch": 2.6,
"learning_rate": 9.600000000000001e-06,
"loss": 0.9784,
"step": 13000
},
{
"epoch": 2.7,
"learning_rate": 9.200000000000002e-06,
"loss": 0.9931,
"step": 13500
},
{
"epoch": 2.8,
"learning_rate": 8.8e-06,
"loss": 0.9944,
"step": 14000
},
{
"epoch": 2.9,
"learning_rate": 8.400000000000001e-06,
"loss": 0.9873,
"step": 14500
},
{
"epoch": 3.0,
"learning_rate": 8.000000000000001e-06,
"loss": 0.9898,
"step": 15000
},
{
"epoch": 3.0,
"eval_loss": 0.9317747950553894,
"eval_runtime": 529.6801,
"eval_samples_per_second": 18.879,
"eval_steps_per_second": 2.36,
"step": 15000
},
{
"epoch": 3.1,
"learning_rate": 7.600000000000001e-06,
"loss": 0.9791,
"step": 15500
},
{
"epoch": 3.2,
"learning_rate": 7.2000000000000005e-06,
"loss": 0.9821,
"step": 16000
},
{
"epoch": 3.3,
"learning_rate": 6.800000000000001e-06,
"loss": 0.9809,
"step": 16500
},
{
"epoch": 3.4,
"learning_rate": 6.4000000000000006e-06,
"loss": 0.9701,
"step": 17000
},
{
"epoch": 3.5,
"learning_rate": 6e-06,
"loss": 0.9783,
"step": 17500
},
{
"epoch": 3.6,
"learning_rate": 5.600000000000001e-06,
"loss": 0.9763,
"step": 18000
},
{
"epoch": 3.7,
"learning_rate": 5.2e-06,
"loss": 0.9631,
"step": 18500
},
{
"epoch": 3.8,
"learning_rate": 4.800000000000001e-06,
"loss": 0.973,
"step": 19000
},
{
"epoch": 3.9,
"learning_rate": 4.4e-06,
"loss": 0.9688,
"step": 19500
},
{
"epoch": 4.0,
"learning_rate": 4.000000000000001e-06,
"loss": 0.9788,
"step": 20000
},
{
"epoch": 4.0,
"eval_loss": 0.9208911061286926,
"eval_runtime": 528.6017,
"eval_samples_per_second": 18.918,
"eval_steps_per_second": 2.365,
"step": 20000
},
{
"epoch": 4.1,
"learning_rate": 3.6000000000000003e-06,
"loss": 0.9695,
"step": 20500
},
{
"epoch": 4.2,
"learning_rate": 3.2000000000000003e-06,
"loss": 0.9725,
"step": 21000
},
{
"epoch": 4.3,
"learning_rate": 2.8000000000000003e-06,
"loss": 0.9606,
"step": 21500
},
{
"epoch": 4.4,
"learning_rate": 2.4000000000000003e-06,
"loss": 0.9611,
"step": 22000
},
{
"epoch": 4.5,
"learning_rate": 2.0000000000000003e-06,
"loss": 0.9511,
"step": 22500
},
{
"epoch": 4.6,
"learning_rate": 1.6000000000000001e-06,
"loss": 0.9571,
"step": 23000
},
{
"epoch": 4.7,
"learning_rate": 1.2000000000000002e-06,
"loss": 0.9661,
"step": 23500
},
{
"epoch": 4.8,
"learning_rate": 8.000000000000001e-07,
"loss": 0.9566,
"step": 24000
},
{
"epoch": 4.9,
"learning_rate": 4.0000000000000003e-07,
"loss": 0.9647,
"step": 24500
},
{
"epoch": 5.0,
"learning_rate": 0.0,
"loss": 0.9692,
"step": 25000
},
{
"epoch": 5.1,
"learning_rate": 9.800000000000001e-06,
"loss": 0.9756,
"step": 25500
},
{
"epoch": 5.2,
"learning_rate": 9.600000000000001e-06,
"loss": 0.9775,
"step": 26000
},
{
"epoch": 5.3,
"learning_rate": 9.4e-06,
"loss": 0.9843,
"step": 26500
},
{
"epoch": 5.4,
"learning_rate": 9.200000000000002e-06,
"loss": 0.9883,
"step": 27000
},
{
"epoch": 5.5,
"learning_rate": 9e-06,
"loss": 0.976,
"step": 27500
},
{
"epoch": 5.6,
"learning_rate": 8.8e-06,
"loss": 0.98,
"step": 28000
},
{
"epoch": 5.7,
"learning_rate": 8.6e-06,
"loss": 0.9807,
"step": 28500
},
{
"epoch": 5.8,
"learning_rate": 8.400000000000001e-06,
"loss": 0.985,
"step": 29000
},
{
"epoch": 5.9,
"learning_rate": 8.2e-06,
"loss": 0.9655,
"step": 29500
},
{
"epoch": 6.0,
"learning_rate": 8.000000000000001e-06,
"loss": 0.974,
"step": 30000
},
{
"epoch": 6.0,
"eval_loss": 0.8957818150520325,
"eval_runtime": 248.7642,
"eval_samples_per_second": 40.199,
"eval_steps_per_second": 5.025,
"step": 30000
},
{
"epoch": 6.1,
"learning_rate": 7.800000000000002e-06,
"loss": 0.976,
"step": 30500
},
{
"epoch": 6.2,
"learning_rate": 7.600000000000001e-06,
"loss": 0.9739,
"step": 31000
},
{
"epoch": 6.3,
"learning_rate": 7.4e-06,
"loss": 0.9668,
"step": 31500
},
{
"epoch": 6.4,
"learning_rate": 7.2000000000000005e-06,
"loss": 0.9691,
"step": 32000
},
{
"epoch": 6.5,
"learning_rate": 7e-06,
"loss": 0.9734,
"step": 32500
},
{
"epoch": 6.6,
"learning_rate": 6.800000000000001e-06,
"loss": 0.9722,
"step": 33000
},
{
"epoch": 6.7,
"learning_rate": 6.600000000000001e-06,
"loss": 0.9738,
"step": 33500
},
{
"epoch": 6.8,
"learning_rate": 6.4000000000000006e-06,
"loss": 0.9701,
"step": 34000
},
{
"epoch": 6.9,
"learning_rate": 6.200000000000001e-06,
"loss": 0.9596,
"step": 34500
},
{
"epoch": 7.0,
"learning_rate": 6e-06,
"loss": 0.9628,
"step": 35000
}
],
"max_steps": 50000,
"num_train_epochs": 10,
"total_flos": 7.371432972288e+16,
"trial_name": null,
"trial_params": null
}