chansung's picture
Model save
d89b35e verified
raw
history blame
4.89 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 9.23076923076923,
"eval_steps": 500,
"global_step": 60,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.15384615384615385,
"grad_norm": 4.90625,
"learning_rate": 3.3333333333333335e-05,
"loss": 2.7975,
"step": 1
},
{
"epoch": 0.7692307692307693,
"grad_norm": 1.484375,
"learning_rate": 0.0001666666666666667,
"loss": 2.777,
"step": 5
},
{
"epoch": 0.9230769230769231,
"eval_loss": 2.9954144954681396,
"eval_runtime": 0.6514,
"eval_samples_per_second": 15.352,
"eval_steps_per_second": 1.535,
"step": 6
},
{
"epoch": 1.5384615384615383,
"grad_norm": 3.5625,
"learning_rate": 0.00019730448705798239,
"loss": 2.4096,
"step": 10
},
{
"epoch": 2.0,
"eval_loss": 2.712022304534912,
"eval_runtime": 0.5378,
"eval_samples_per_second": 18.593,
"eval_steps_per_second": 1.859,
"step": 13
},
{
"epoch": 2.3076923076923075,
"grad_norm": 1.25,
"learning_rate": 0.00018660254037844388,
"loss": 2.0954,
"step": 15
},
{
"epoch": 2.9230769230769234,
"eval_loss": 2.6308600902557373,
"eval_runtime": 0.679,
"eval_samples_per_second": 14.728,
"eval_steps_per_second": 1.473,
"step": 19
},
{
"epoch": 3.076923076923077,
"grad_norm": 1.09375,
"learning_rate": 0.0001686241637868734,
"loss": 1.8931,
"step": 20
},
{
"epoch": 3.8461538461538463,
"grad_norm": 1.8828125,
"learning_rate": 0.00014487991802004623,
"loss": 1.7235,
"step": 25
},
{
"epoch": 4.0,
"eval_loss": 2.5914011001586914,
"eval_runtime": 0.541,
"eval_samples_per_second": 18.486,
"eval_steps_per_second": 1.849,
"step": 26
},
{
"epoch": 4.615384615384615,
"grad_norm": 0.421875,
"learning_rate": 0.00011736481776669306,
"loss": 1.5996,
"step": 30
},
{
"epoch": 4.923076923076923,
"eval_loss": 2.5729358196258545,
"eval_runtime": 0.6344,
"eval_samples_per_second": 15.764,
"eval_steps_per_second": 1.576,
"step": 32
},
{
"epoch": 5.384615384615385,
"grad_norm": 0.90625,
"learning_rate": 8.839070858747697e-05,
"loss": 1.5071,
"step": 35
},
{
"epoch": 6.0,
"eval_loss": 2.5703837871551514,
"eval_runtime": 0.5366,
"eval_samples_per_second": 18.636,
"eval_steps_per_second": 1.864,
"step": 39
},
{
"epoch": 6.153846153846154,
"grad_norm": 0.310546875,
"learning_rate": 6.039202339608432e-05,
"loss": 1.4579,
"step": 40
},
{
"epoch": 6.923076923076923,
"grad_norm": 0.498046875,
"learning_rate": 3.5721239031346066e-05,
"loss": 1.4254,
"step": 45
},
{
"epoch": 6.923076923076923,
"eval_loss": 2.570425510406494,
"eval_runtime": 0.6976,
"eval_samples_per_second": 14.334,
"eval_steps_per_second": 1.433,
"step": 45
},
{
"epoch": 7.6923076923076925,
"grad_norm": 0.353515625,
"learning_rate": 1.6451218858706374e-05,
"loss": 1.3939,
"step": 50
},
{
"epoch": 8.0,
"eval_loss": 2.5644469261169434,
"eval_runtime": 0.5372,
"eval_samples_per_second": 18.616,
"eval_steps_per_second": 1.862,
"step": 52
},
{
"epoch": 8.461538461538462,
"grad_norm": 0.84765625,
"learning_rate": 4.20104876845111e-06,
"loss": 1.3833,
"step": 55
},
{
"epoch": 8.923076923076923,
"eval_loss": 2.5641579627990723,
"eval_runtime": 0.6811,
"eval_samples_per_second": 14.681,
"eval_steps_per_second": 1.468,
"step": 58
},
{
"epoch": 9.23076923076923,
"grad_norm": 0.357421875,
"learning_rate": 0.0,
"loss": 1.3864,
"step": 60
},
{
"epoch": 9.23076923076923,
"eval_loss": 2.564016819000244,
"eval_runtime": 0.5352,
"eval_samples_per_second": 18.685,
"eval_steps_per_second": 1.868,
"step": 60
},
{
"epoch": 9.23076923076923,
"step": 60,
"total_flos": 3.5242400385335296e+16,
"train_loss": 1.7546881834665935,
"train_runtime": 212.0463,
"train_samples_per_second": 14.478,
"train_steps_per_second": 0.283
}
],
"logging_steps": 5,
"max_steps": 60,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 100,
"total_flos": 3.5242400385335296e+16,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}