tmnam20's picture
Training in progress, step 11000, checkpoint
c861702
raw
history blame
4.63 kB
{
"best_metric": 1.1149991750717163,
"best_model_checkpoint": "/kaggle/output/checkpoint-9000",
"epoch": 176.0,
"eval_steps": 1000,
"global_step": 11000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"learning_rate": 2.7777777777777777e-11,
"loss": 1.2395,
"step": 1
},
{
"epoch": 16.0,
"learning_rate": 2.7638888888888893e-08,
"loss": 1.1422,
"step": 1000
},
{
"epoch": 16.0,
"eval_accuracy": 0.33073852295409184,
"eval_loss": 1.1557353734970093,
"eval_runtime": 54.1805,
"eval_samples_per_second": 92.469,
"eval_steps_per_second": 11.572,
"step": 1000
},
{
"epoch": 32.0,
"learning_rate": 5.541666666666667e-08,
"loss": 1.1401,
"step": 2000
},
{
"epoch": 32.0,
"eval_accuracy": 0.3311377245508982,
"eval_loss": 1.1507551670074463,
"eval_runtime": 53.98,
"eval_samples_per_second": 92.812,
"eval_steps_per_second": 11.615,
"step": 2000
},
{
"epoch": 48.0,
"learning_rate": 8.316666666666666e-08,
"loss": 1.1287,
"step": 3000
},
{
"epoch": 48.0,
"eval_accuracy": 0.3321357285429142,
"eval_loss": 1.1441665887832642,
"eval_runtime": 53.9873,
"eval_samples_per_second": 92.8,
"eval_steps_per_second": 11.614,
"step": 3000
},
{
"epoch": 64.0,
"learning_rate": 1.1094444444444445e-07,
"loss": 1.117,
"step": 4000
},
{
"epoch": 64.0,
"eval_accuracy": 0.3287425149700599,
"eval_loss": 1.134506344795227,
"eval_runtime": 54.0067,
"eval_samples_per_second": 92.766,
"eval_steps_per_second": 11.61,
"step": 4000
},
{
"epoch": 80.0,
"learning_rate": 1.3872222222222222e-07,
"loss": 1.1111,
"step": 5000
},
{
"epoch": 80.0,
"eval_accuracy": 0.32954091816367265,
"eval_loss": 1.1283142566680908,
"eval_runtime": 54.0921,
"eval_samples_per_second": 92.62,
"eval_steps_per_second": 11.591,
"step": 5000
},
{
"epoch": 96.0,
"learning_rate": 1.6650000000000002e-07,
"loss": 1.1053,
"step": 6000
},
{
"epoch": 96.0,
"eval_accuracy": 0.32894211576846305,
"eval_loss": 1.1218452453613281,
"eval_runtime": 54.0607,
"eval_samples_per_second": 92.674,
"eval_steps_per_second": 11.598,
"step": 6000
},
{
"epoch": 112.0,
"learning_rate": 1.9422222222222223e-07,
"loss": 1.0952,
"step": 7000
},
{
"epoch": 112.0,
"eval_accuracy": 0.33073852295409184,
"eval_loss": 1.118302583694458,
"eval_runtime": 53.9252,
"eval_samples_per_second": 92.906,
"eval_steps_per_second": 11.627,
"step": 7000
},
{
"epoch": 128.0,
"learning_rate": 2.2197222222222225e-07,
"loss": 1.0909,
"step": 8000
},
{
"epoch": 128.0,
"eval_accuracy": 0.3281437125748503,
"eval_loss": 1.1167163848876953,
"eval_runtime": 54.095,
"eval_samples_per_second": 92.615,
"eval_steps_per_second": 11.591,
"step": 8000
},
{
"epoch": 144.0,
"learning_rate": 2.4975e-07,
"loss": 1.0838,
"step": 9000
},
{
"epoch": 144.0,
"eval_accuracy": 0.3317365269461078,
"eval_loss": 1.1149991750717163,
"eval_runtime": 54.0536,
"eval_samples_per_second": 92.686,
"eval_steps_per_second": 11.6,
"step": 9000
},
{
"epoch": 160.0,
"learning_rate": 2.775277777777778e-07,
"loss": 1.0746,
"step": 10000
},
{
"epoch": 160.0,
"eval_accuracy": 0.3347305389221557,
"eval_loss": 1.1178398132324219,
"eval_runtime": 54.1273,
"eval_samples_per_second": 92.56,
"eval_steps_per_second": 11.584,
"step": 10000
},
{
"epoch": 176.0,
"learning_rate": 3.0530555555555556e-07,
"loss": 1.0722,
"step": 11000
},
{
"epoch": 176.0,
"eval_accuracy": 0.3373253493013972,
"eval_loss": 1.1214321851730347,
"eval_runtime": 54.046,
"eval_samples_per_second": 92.699,
"eval_steps_per_second": 11.601,
"step": 11000
}
],
"logging_steps": 1000,
"max_steps": 10000000,
"num_train_epochs": 161291,
"save_steps": 1000,
"total_flos": 2.2993906434048e+16,
"trial_name": null,
"trial_params": null
}