bert-base-uncased / trainer_state.json
diffuserconfuser's picture
Upload folder using huggingface_hub
208f7f3
{
"best_metric": 1.0080007314682007,
"best_model_checkpoint": "finetune_bert-base-uncased/checkpoint-5476",
"epoch": 2.0,
"eval_steps": 500,
"global_step": 5476,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.18,
"learning_rate": 1.8787436084733382e-05,
"loss": 2.324,
"step": 500
},
{
"epoch": 0.37,
"learning_rate": 1.7570002434867303e-05,
"loss": 1.3702,
"step": 1000
},
{
"epoch": 0.55,
"learning_rate": 1.635500365230095e-05,
"loss": 1.2429,
"step": 1500
},
{
"epoch": 0.73,
"learning_rate": 1.513757000243487e-05,
"loss": 1.1599,
"step": 2000
},
{
"epoch": 0.91,
"learning_rate": 1.3920136352568787e-05,
"loss": 1.1298,
"step": 2500
},
{
"epoch": 1.0,
"eval_loss": 1.0416048765182495,
"eval_runtime": 80.4387,
"eval_samples_per_second": 131.404,
"eval_steps_per_second": 1.032,
"step": 2738
},
{
"epoch": 1.1,
"learning_rate": 1.2702702702702702e-05,
"loss": 0.9945,
"step": 3000
},
{
"epoch": 1.28,
"learning_rate": 1.1485269052836621e-05,
"loss": 0.888,
"step": 3500
},
{
"epoch": 1.46,
"learning_rate": 1.0267835402970538e-05,
"loss": 0.8653,
"step": 4000
},
{
"epoch": 1.64,
"learning_rate": 9.052836620404189e-06,
"loss": 0.8768,
"step": 4500
},
{
"epoch": 1.83,
"learning_rate": 7.835402970538106e-06,
"loss": 0.8736,
"step": 5000
},
{
"epoch": 2.0,
"eval_loss": 1.0080007314682007,
"eval_runtime": 79.7471,
"eval_samples_per_second": 132.544,
"eval_steps_per_second": 1.041,
"step": 5476
}
],
"logging_steps": 500,
"max_steps": 8214,
"num_train_epochs": 3,
"save_steps": 500,
"total_flos": 3.4334001889975296e+16,
"trial_name": null,
"trial_params": null
}