tmnam20's picture
Training in progress, step 15000, checkpoint
b14197f
raw
history blame
6.11 kB
{
"best_metric": 1.0941977500915527,
"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": 1.029,
"step": 1
},
{
"epoch": 0.04,
"learning_rate": 2.7638888888888893e-08,
"loss": 1.181,
"step": 1000
},
{
"epoch": 0.04,
"eval_accuracy": 0.3273453093812375,
"eval_loss": 1.1529844999313354,
"eval_runtime": 54.2837,
"eval_samples_per_second": 92.293,
"eval_steps_per_second": 11.55,
"step": 1000
},
{
"epoch": 0.08,
"learning_rate": 5.541666666666667e-08,
"loss": 1.1527,
"step": 2000
},
{
"epoch": 0.08,
"eval_accuracy": 0.33013972055888224,
"eval_loss": 1.1351025104522705,
"eval_runtime": 54.0518,
"eval_samples_per_second": 92.689,
"eval_steps_per_second": 11.6,
"step": 2000
},
{
"epoch": 0.12,
"learning_rate": 8.316666666666666e-08,
"loss": 1.142,
"step": 3000
},
{
"epoch": 0.12,
"eval_accuracy": 0.3317365269461078,
"eval_loss": 1.127414345741272,
"eval_runtime": 54.0871,
"eval_samples_per_second": 92.628,
"eval_steps_per_second": 11.592,
"step": 3000
},
{
"epoch": 0.16,
"learning_rate": 1.1091666666666668e-07,
"loss": 1.1371,
"step": 4000
},
{
"epoch": 0.16,
"eval_accuracy": 0.331936127744511,
"eval_loss": 1.1194497346878052,
"eval_runtime": 54.3907,
"eval_samples_per_second": 92.111,
"eval_steps_per_second": 11.528,
"step": 4000
},
{
"epoch": 0.2,
"learning_rate": 1.3869444444444447e-07,
"loss": 1.1246,
"step": 5000
},
{
"epoch": 0.2,
"eval_accuracy": 0.3345309381237525,
"eval_loss": 1.1131775379180908,
"eval_runtime": 54.3492,
"eval_samples_per_second": 92.182,
"eval_steps_per_second": 11.537,
"step": 5000
},
{
"epoch": 0.24,
"learning_rate": 1.664722222222222e-07,
"loss": 1.1201,
"step": 6000
},
{
"epoch": 0.24,
"eval_accuracy": 0.34151696606786425,
"eval_loss": 1.1093512773513794,
"eval_runtime": 54.3536,
"eval_samples_per_second": 92.174,
"eval_steps_per_second": 11.536,
"step": 6000
},
{
"epoch": 0.29,
"learning_rate": 1.9425e-07,
"loss": 1.115,
"step": 7000
},
{
"epoch": 0.29,
"eval_accuracy": 0.34510978043912177,
"eval_loss": 1.1066845655441284,
"eval_runtime": 53.9977,
"eval_samples_per_second": 92.782,
"eval_steps_per_second": 11.612,
"step": 7000
},
{
"epoch": 0.33,
"learning_rate": 2.2202777777777778e-07,
"loss": 1.1125,
"step": 8000
},
{
"epoch": 0.33,
"eval_accuracy": 0.3449101796407186,
"eval_loss": 1.1031057834625244,
"eval_runtime": 54.2562,
"eval_samples_per_second": 92.34,
"eval_steps_per_second": 11.556,
"step": 8000
},
{
"epoch": 0.37,
"learning_rate": 2.498055555555556e-07,
"loss": 1.1072,
"step": 9000
},
{
"epoch": 0.37,
"eval_accuracy": 0.34870259481037924,
"eval_loss": 1.1044224500656128,
"eval_runtime": 54.0795,
"eval_samples_per_second": 92.641,
"eval_steps_per_second": 11.594,
"step": 9000
},
{
"epoch": 0.41,
"learning_rate": 2.7755555555555554e-07,
"loss": 1.1064,
"step": 10000
},
{
"epoch": 0.41,
"eval_accuracy": 0.3499001996007984,
"eval_loss": 1.1001031398773193,
"eval_runtime": 54.0869,
"eval_samples_per_second": 92.629,
"eval_steps_per_second": 11.592,
"step": 10000
},
{
"epoch": 0.45,
"learning_rate": 3.053333333333333e-07,
"loss": 1.1053,
"step": 11000
},
{
"epoch": 0.45,
"eval_accuracy": 0.36087824351297404,
"eval_loss": 1.0987293720245361,
"eval_runtime": 53.9688,
"eval_samples_per_second": 92.831,
"eval_steps_per_second": 11.618,
"step": 11000
},
{
"epoch": 0.49,
"learning_rate": 3.3311111111111114e-07,
"loss": 1.104,
"step": 12000
},
{
"epoch": 0.49,
"eval_accuracy": 0.3594810379241517,
"eval_loss": 1.0968631505966187,
"eval_runtime": 54.0936,
"eval_samples_per_second": 92.617,
"eval_steps_per_second": 11.591,
"step": 12000
},
{
"epoch": 0.53,
"learning_rate": 3.608888888888889e-07,
"loss": 1.1022,
"step": 13000
},
{
"epoch": 0.53,
"eval_accuracy": 0.36087824351297404,
"eval_loss": 1.0962979793548584,
"eval_runtime": 54.0403,
"eval_samples_per_second": 92.709,
"eval_steps_per_second": 11.602,
"step": 13000
},
{
"epoch": 0.57,
"learning_rate": 3.886666666666667e-07,
"loss": 1.1029,
"step": 14000
},
{
"epoch": 0.57,
"eval_accuracy": 0.3528942115768463,
"eval_loss": 1.0987964868545532,
"eval_runtime": 54.06,
"eval_samples_per_second": 92.675,
"eval_steps_per_second": 11.598,
"step": 14000
},
{
"epoch": 0.61,
"learning_rate": 4.163611111111111e-07,
"loss": 1.1011,
"step": 15000
},
{
"epoch": 0.61,
"eval_accuracy": 0.36926147704590817,
"eval_loss": 1.0941977500915527,
"eval_runtime": 54.0807,
"eval_samples_per_second": 92.639,
"eval_steps_per_second": 11.594,
"step": 15000
}
],
"logging_steps": 1000,
"max_steps": 10000000,
"num_train_epochs": 408,
"save_steps": 1000,
"total_flos": 3.135532695552e+16,
"trial_name": null,
"trial_params": null
}