reward-gpt / checkpoint-1000 /trainer_state.json
bradmin's picture
Training in progress, step 1000, checkpoint
800a2ba
raw
history blame
3.27 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.4911591355599214,
"eval_steps": 500,
"global_step": 1000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"learning_rate": 8.999464304375242e-06,
"loss": 0.7019,
"step": 50
},
{
"epoch": 0.05,
"learning_rate": 8.997857345043108e-06,
"loss": 0.6739,
"step": 100
},
{
"epoch": 0.07,
"learning_rate": 8.99517950459963e-06,
"loss": 0.6677,
"step": 150
},
{
"epoch": 0.1,
"learning_rate": 8.99143142060366e-06,
"loss": 0.6625,
"step": 200
},
{
"epoch": 0.12,
"learning_rate": 8.98661398542506e-06,
"loss": 0.6649,
"step": 250
},
{
"epoch": 0.15,
"learning_rate": 8.980728346032255e-06,
"loss": 0.6528,
"step": 300
},
{
"epoch": 0.17,
"learning_rate": 8.973775903719142e-06,
"loss": 0.6442,
"step": 350
},
{
"epoch": 0.2,
"learning_rate": 8.965758313771466e-06,
"loss": 0.6375,
"step": 400
},
{
"epoch": 0.22,
"learning_rate": 8.956677485072722e-06,
"loss": 0.6303,
"step": 450
},
{
"epoch": 0.25,
"learning_rate": 8.946535579649664e-06,
"loss": 0.634,
"step": 500
},
{
"epoch": 0.25,
"eval_accuracy": 0.0,
"eval_loss": 0.6457224488258362,
"eval_runtime": 154.2695,
"eval_samples_per_second": 87.989,
"eval_steps_per_second": 14.669,
"step": 500
},
{
"epoch": 0.27,
"learning_rate": 8.935335012157564e-06,
"loss": 0.6236,
"step": 550
},
{
"epoch": 0.29,
"learning_rate": 8.92307844930531e-06,
"loss": 0.6235,
"step": 600
},
{
"epoch": 0.32,
"learning_rate": 8.909768809220503e-06,
"loss": 0.6301,
"step": 650
},
{
"epoch": 0.34,
"learning_rate": 8.895409260754679e-06,
"loss": 0.6227,
"step": 700
},
{
"epoch": 0.37,
"learning_rate": 8.880003222728855e-06,
"loss": 0.6187,
"step": 750
},
{
"epoch": 0.39,
"learning_rate": 8.863554363119547e-06,
"loss": 0.6201,
"step": 800
},
{
"epoch": 0.42,
"learning_rate": 8.846066598185479e-06,
"loss": 0.614,
"step": 850
},
{
"epoch": 0.44,
"learning_rate": 8.827544091535166e-06,
"loss": 0.607,
"step": 900
},
{
"epoch": 0.47,
"learning_rate": 8.80799125313562e-06,
"loss": 0.6176,
"step": 950
},
{
"epoch": 0.49,
"learning_rate": 8.787412738262386e-06,
"loss": 0.5999,
"step": 1000
},
{
"epoch": 0.49,
"eval_accuracy": 0.0,
"eval_loss": 0.6475000977516174,
"eval_runtime": 154.4877,
"eval_samples_per_second": 87.865,
"eval_steps_per_second": 14.648,
"step": 1000
}
],
"logging_steps": 50,
"max_steps": 10180,
"num_train_epochs": 5,
"save_steps": 500,
"total_flos": 0.0,
"trial_name": null,
"trial_params": null
}