tmnam20's picture
Training in progress, step 15000, checkpoint
49588e5
raw
history blame
6.13 kB
{
"best_metric": 1.0912976264953613,
"best_model_checkpoint": "/kaggle/output/checkpoint-15000",
"epoch": 0.6111473272490222,
"eval_steps": 1000,
"global_step": 15000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 2.7777777777777777e-11,
"loss": 1.1078,
"step": 1
},
{
"epoch": 0.04,
"learning_rate": 2.7750000000000004e-08,
"loss": 1.128,
"step": 1000
},
{
"epoch": 0.04,
"eval_accuracy": 0.330938123752495,
"eval_loss": 1.1083118915557861,
"eval_runtime": 12.3979,
"eval_samples_per_second": 404.1,
"eval_steps_per_second": 50.573,
"step": 1000
},
{
"epoch": 0.08,
"learning_rate": 5.5527777777777784e-08,
"loss": 1.1164,
"step": 2000
},
{
"epoch": 0.08,
"eval_accuracy": 0.3323353293413174,
"eval_loss": 1.102672815322876,
"eval_runtime": 12.2861,
"eval_samples_per_second": 407.778,
"eval_steps_per_second": 51.033,
"step": 2000
},
{
"epoch": 0.12,
"learning_rate": 8.327777777777778e-08,
"loss": 1.1158,
"step": 3000
},
{
"epoch": 0.12,
"eval_accuracy": 0.34211576846307384,
"eval_loss": 1.1024774312973022,
"eval_runtime": 12.3746,
"eval_samples_per_second": 404.863,
"eval_steps_per_second": 50.668,
"step": 3000
},
{
"epoch": 0.16,
"learning_rate": 1.1105555555555557e-07,
"loss": 1.1115,
"step": 4000
},
{
"epoch": 0.16,
"eval_accuracy": 0.34890219560878244,
"eval_loss": 1.1012382507324219,
"eval_runtime": 12.5405,
"eval_samples_per_second": 399.505,
"eval_steps_per_second": 49.998,
"step": 4000
},
{
"epoch": 0.2,
"learning_rate": 1.3880555555555558e-07,
"loss": 1.1141,
"step": 5000
},
{
"epoch": 0.2,
"eval_accuracy": 0.3534930139720559,
"eval_loss": 1.1002192497253418,
"eval_runtime": 12.3001,
"eval_samples_per_second": 407.314,
"eval_steps_per_second": 50.975,
"step": 5000
},
{
"epoch": 0.24,
"learning_rate": 1.6658333333333335e-07,
"loss": 1.112,
"step": 6000
},
{
"epoch": 0.24,
"eval_accuracy": 0.3524950099800399,
"eval_loss": 1.100056767463684,
"eval_runtime": 12.4062,
"eval_samples_per_second": 403.831,
"eval_steps_per_second": 50.539,
"step": 6000
},
{
"epoch": 0.29,
"learning_rate": 1.9433333333333334e-07,
"loss": 1.1115,
"step": 7000
},
{
"epoch": 0.29,
"eval_accuracy": 0.34331337325349304,
"eval_loss": 1.098986029624939,
"eval_runtime": 12.4456,
"eval_samples_per_second": 402.551,
"eval_steps_per_second": 50.379,
"step": 7000
},
{
"epoch": 0.33,
"learning_rate": 2.2211111111111114e-07,
"loss": 1.109,
"step": 8000
},
{
"epoch": 0.33,
"eval_accuracy": 0.3347305389221557,
"eval_loss": 1.098678469657898,
"eval_runtime": 12.5978,
"eval_samples_per_second": 397.688,
"eval_steps_per_second": 49.771,
"step": 8000
},
{
"epoch": 0.37,
"learning_rate": 2.4986111111111113e-07,
"loss": 1.1117,
"step": 9000
},
{
"epoch": 0.37,
"eval_accuracy": 0.34311377245508984,
"eval_loss": 1.0984419584274292,
"eval_runtime": 12.313,
"eval_samples_per_second": 406.886,
"eval_steps_per_second": 50.922,
"step": 9000
},
{
"epoch": 0.41,
"learning_rate": 2.776388888888889e-07,
"loss": 1.1081,
"step": 10000
},
{
"epoch": 0.41,
"eval_accuracy": 0.35429141716566864,
"eval_loss": 1.0968743562698364,
"eval_runtime": 12.4088,
"eval_samples_per_second": 403.744,
"eval_steps_per_second": 50.528,
"step": 10000
},
{
"epoch": 0.45,
"learning_rate": 3.053888888888889e-07,
"loss": 1.107,
"step": 11000
},
{
"epoch": 0.45,
"eval_accuracy": 0.3722554890219561,
"eval_loss": 1.0950665473937988,
"eval_runtime": 12.5775,
"eval_samples_per_second": 398.33,
"eval_steps_per_second": 49.851,
"step": 11000
},
{
"epoch": 0.49,
"learning_rate": 3.331666666666667e-07,
"loss": 1.1057,
"step": 12000
},
{
"epoch": 0.49,
"eval_accuracy": 0.37544910179640717,
"eval_loss": 1.0940738916397095,
"eval_runtime": 12.5186,
"eval_samples_per_second": 400.203,
"eval_steps_per_second": 50.085,
"step": 12000
},
{
"epoch": 0.53,
"learning_rate": 3.609166666666667e-07,
"loss": 1.1069,
"step": 13000
},
{
"epoch": 0.53,
"eval_accuracy": 0.3401197604790419,
"eval_loss": 1.0937162637710571,
"eval_runtime": 12.2594,
"eval_samples_per_second": 408.666,
"eval_steps_per_second": 51.144,
"step": 13000
},
{
"epoch": 0.57,
"learning_rate": 3.886944444444445e-07,
"loss": 1.1046,
"step": 14000
},
{
"epoch": 0.57,
"eval_accuracy": 0.37604790419161677,
"eval_loss": 1.0926916599273682,
"eval_runtime": 12.256,
"eval_samples_per_second": 408.78,
"eval_steps_per_second": 51.159,
"step": 14000
},
{
"epoch": 0.61,
"learning_rate": 4.164444444444445e-07,
"loss": 1.1046,
"step": 15000
},
{
"epoch": 0.61,
"eval_accuracy": 0.39201596806387223,
"eval_loss": 1.0912976264953613,
"eval_runtime": 12.5019,
"eval_samples_per_second": 400.74,
"eval_steps_per_second": 50.152,
"step": 15000
}
],
"logging_steps": 1000,
"max_steps": 10000000,
"num_train_epochs": 408,
"save_steps": 1000,
"total_flos": 5226595614720000.0,
"trial_name": null,
"trial_params": null
}