bert_gpt4_augmented / trainer_state.json
iojw's picture
Add augmented BERT
eb6ef18
raw
history blame contribute delete
No virus
1.83 kB
{
"best_metric": 0.9109132885932922,
"best_model_checkpoint": "bert-combined/checkpoint-1500",
"epoch": 1.1029411764705883,
"eval_steps": 500,
"global_step": 1500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.36764705882352944,
"grad_norm": 3.704710006713867,
"learning_rate": 9.080882352941177e-06,
"loss": 0.9954,
"step": 500
},
{
"epoch": 0.36764705882352944,
"eval_accuracy": 0.5526893523600439,
"eval_loss": 0.9458832144737244,
"eval_runtime": 39.4256,
"eval_samples_per_second": 92.427,
"eval_steps_per_second": 2.892,
"step": 500
},
{
"epoch": 0.7352941176470589,
"grad_norm": 5.2961835861206055,
"learning_rate": 8.161764705882354e-06,
"loss": 0.9644,
"step": 1000
},
{
"epoch": 0.7352941176470589,
"eval_accuracy": 0.5760153677277717,
"eval_loss": 0.9222443699836731,
"eval_runtime": 39.4362,
"eval_samples_per_second": 92.402,
"eval_steps_per_second": 2.891,
"step": 1000
},
{
"epoch": 1.1029411764705883,
"grad_norm": 7.299610614776611,
"learning_rate": 7.24264705882353e-06,
"loss": 0.951,
"step": 1500
},
{
"epoch": 1.1029411764705883,
"eval_accuracy": 0.5927552140504939,
"eval_loss": 0.9109132885932922,
"eval_runtime": 40.7062,
"eval_samples_per_second": 89.519,
"eval_steps_per_second": 2.801,
"step": 1500
}
],
"logging_steps": 500,
"max_steps": 5440,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 500,
"total_flos": 1.1886933874968432e+16,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}