suehyunpark's picture
Model save
fa611d0 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": 236.14656987198234,
"learning_rate": 5e-06,
"loss": 2.5604,
"step": 1
},
{
"epoch": 0.3333333333333333,
"grad_norm": 201.89433604340425,
"learning_rate": 1e-05,
"loss": 2.1833,
"step": 2
},
{
"epoch": 0.5,
"grad_norm": 43.15775775201472,
"learning_rate": 9.903926402016153e-06,
"loss": 0.9756,
"step": 3
},
{
"epoch": 0.6666666666666666,
"grad_norm": 13.315262915709834,
"learning_rate": 9.619397662556434e-06,
"loss": 0.7236,
"step": 4
},
{
"epoch": 0.8333333333333334,
"grad_norm": 8.220944289845372,
"learning_rate": 9.157348061512728e-06,
"loss": 0.4679,
"step": 5
},
{
"epoch": 1.0,
"grad_norm": 16.58577267851266,
"learning_rate": 8.535533905932739e-06,
"loss": 0.402,
"step": 6
},
{
"epoch": 1.0,
"eval_loss": 0.32322201132774353,
"eval_runtime": 1.0011,
"eval_samples_per_second": 8.99,
"eval_steps_per_second": 2.997,
"step": 6
},
{
"epoch": 1.1666666666666667,
"grad_norm": 2.76249506004443,
"learning_rate": 7.777851165098012e-06,
"loss": 0.2663,
"step": 7
},
{
"epoch": 1.3333333333333333,
"grad_norm": 2.763402651988573,
"learning_rate": 6.913417161825449e-06,
"loss": 0.2429,
"step": 8
},
{
"epoch": 1.5,
"grad_norm": 3.883639510915858,
"learning_rate": 5.975451610080643e-06,
"loss": 0.2455,
"step": 9
},
{
"epoch": 1.6666666666666665,
"grad_norm": 3.161760936759259,
"learning_rate": 5e-06,
"loss": 0.2269,
"step": 10
},
{
"epoch": 1.8333333333333335,
"grad_norm": 2.335011386155214,
"learning_rate": 4.02454838991936e-06,
"loss": 0.2229,
"step": 11
},
{
"epoch": 2.0,
"grad_norm": 1.716063572976715,
"learning_rate": 3.0865828381745515e-06,
"loss": 0.1921,
"step": 12
},
{
"epoch": 2.0,
"eval_loss": 0.24893158674240112,
"eval_runtime": 0.9909,
"eval_samples_per_second": 9.083,
"eval_steps_per_second": 3.028,
"step": 12
},
{
"epoch": 2.1666666666666665,
"grad_norm": 0.8996504564335516,
"learning_rate": 2.2221488349019903e-06,
"loss": 0.1879,
"step": 13
},
{
"epoch": 2.3333333333333335,
"grad_norm": 1.3172641910170275,
"learning_rate": 1.4644660940672628e-06,
"loss": 0.1706,
"step": 14
},
{
"epoch": 2.5,
"grad_norm": 1.0444149673130907,
"learning_rate": 8.426519384872733e-07,
"loss": 0.1959,
"step": 15
},
{
"epoch": 2.6666666666666665,
"grad_norm": 0.6948355165030632,
"learning_rate": 3.8060233744356634e-07,
"loss": 0.2043,
"step": 16
},
{
"epoch": 2.8333333333333335,
"grad_norm": 0.6328551118621334,
"learning_rate": 9.607359798384785e-08,
"loss": 0.1693,
"step": 17
},
{
"epoch": 3.0,
"grad_norm": 0.7570021616382325,
"learning_rate": 0.0,
"loss": 0.1928,
"step": 18
},
{
"epoch": 3.0,
"eval_loss": 0.23970693349838257,
"eval_runtime": 0.9997,
"eval_samples_per_second": 9.002,
"eval_steps_per_second": 3.001,
"step": 18
},
{
"epoch": 3.0,
"step": 18,
"total_flos": 3783747502080.0,
"train_loss": 0.5461173463198874,
"train_runtime": 901.4481,
"train_samples_per_second": 0.562,
"train_steps_per_second": 0.02
}
],
"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": 3783747502080.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}