suehyunpark's picture
Model save
a6e1a0d verified
raw
history blame
4.49 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.0,
"eval_steps": 500,
"global_step": 18,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.16666666666666666,
"grad_norm": 222.82342420922615,
"learning_rate": 5e-06,
"loss": 2.4489,
"step": 1
},
{
"epoch": 0.3333333333333333,
"grad_norm": 191.2213317228195,
"learning_rate": 1e-05,
"loss": 2.0952,
"step": 2
},
{
"epoch": 0.5,
"grad_norm": 44.239187858987805,
"learning_rate": 9.903926402016153e-06,
"loss": 0.998,
"step": 3
},
{
"epoch": 0.6666666666666666,
"grad_norm": 14.348099429987915,
"learning_rate": 9.619397662556434e-06,
"loss": 0.727,
"step": 4
},
{
"epoch": 0.8333333333333334,
"grad_norm": 7.562754528894627,
"learning_rate": 9.157348061512728e-06,
"loss": 0.4583,
"step": 5
},
{
"epoch": 1.0,
"grad_norm": 24.45138003404346,
"learning_rate": 8.535533905932739e-06,
"loss": 0.4519,
"step": 6
},
{
"epoch": 1.0,
"eval_loss": 0.3483733534812927,
"eval_runtime": 1.0034,
"eval_samples_per_second": 8.97,
"eval_steps_per_second": 2.99,
"step": 6
},
{
"epoch": 1.1666666666666667,
"grad_norm": 3.517997247609117,
"learning_rate": 7.777851165098012e-06,
"loss": 0.2755,
"step": 7
},
{
"epoch": 1.3333333333333333,
"grad_norm": 2.744037064490017,
"learning_rate": 6.913417161825449e-06,
"loss": 0.2597,
"step": 8
},
{
"epoch": 1.5,
"grad_norm": 1.2169458930476553,
"learning_rate": 5.975451610080643e-06,
"loss": 0.247,
"step": 9
},
{
"epoch": 1.6666666666666665,
"grad_norm": 3.819506951093238,
"learning_rate": 5e-06,
"loss": 0.2465,
"step": 10
},
{
"epoch": 1.8333333333333335,
"grad_norm": 1.4747090067383897,
"learning_rate": 4.02454838991936e-06,
"loss": 0.2356,
"step": 11
},
{
"epoch": 2.0,
"grad_norm": 1.6543936276406785,
"learning_rate": 3.0865828381745515e-06,
"loss": 0.1999,
"step": 12
},
{
"epoch": 2.0,
"eval_loss": 0.2685082256793976,
"eval_runtime": 0.9843,
"eval_samples_per_second": 9.143,
"eval_steps_per_second": 3.048,
"step": 12
},
{
"epoch": 2.1666666666666665,
"grad_norm": 1.0165748777270285,
"learning_rate": 2.2221488349019903e-06,
"loss": 0.1942,
"step": 13
},
{
"epoch": 2.3333333333333335,
"grad_norm": 1.1243172670894819,
"learning_rate": 1.4644660940672628e-06,
"loss": 0.1792,
"step": 14
},
{
"epoch": 2.5,
"grad_norm": 0.9298098825188076,
"learning_rate": 8.426519384872733e-07,
"loss": 0.2014,
"step": 15
},
{
"epoch": 2.6666666666666665,
"grad_norm": 0.8728951381474357,
"learning_rate": 3.8060233744356634e-07,
"loss": 0.2173,
"step": 16
},
{
"epoch": 2.8333333333333335,
"grad_norm": 0.6744276876185934,
"learning_rate": 9.607359798384785e-08,
"loss": 0.1815,
"step": 17
},
{
"epoch": 3.0,
"grad_norm": 0.6844816911131187,
"learning_rate": 0.0,
"loss": 0.2005,
"step": 18
},
{
"epoch": 3.0,
"eval_loss": 0.25620439648628235,
"eval_runtime": 1.0135,
"eval_samples_per_second": 8.88,
"eval_steps_per_second": 2.96,
"step": 18
},
{
"epoch": 3.0,
"step": 18,
"total_flos": 3943670415360.0,
"train_loss": 0.545412374039491,
"train_runtime": 944.2174,
"train_samples_per_second": 0.537,
"train_steps_per_second": 0.019
}
],
"logging_steps": 1,
"max_steps": 18,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 3943670415360.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}