|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 7.861635220125786, |
|
"eval_steps": 500, |
|
"global_step": 2500, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5916129032258064, |
|
"eval_loss": 0.19515082240104675, |
|
"eval_runtime": 1.8956, |
|
"eval_samples_per_second": 1635.33, |
|
"eval_steps_per_second": 34.289, |
|
"step": 318 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"grad_norm": 0.6071546077728271, |
|
"learning_rate": 1.650593990216632e-05, |
|
"loss": 0.315, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8209677419354838, |
|
"eval_loss": 0.09566613286733627, |
|
"eval_runtime": 2.0569, |
|
"eval_samples_per_second": 1507.132, |
|
"eval_steps_per_second": 31.601, |
|
"step": 636 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8745161290322581, |
|
"eval_loss": 0.06388552486896515, |
|
"eval_runtime": 3.4293, |
|
"eval_samples_per_second": 903.986, |
|
"eval_steps_per_second": 18.955, |
|
"step": 954 |
|
}, |
|
{ |
|
"epoch": 3.14, |
|
"grad_norm": 0.4936941862106323, |
|
"learning_rate": 1.3011879804332637e-05, |
|
"loss": 0.1104, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.9, |
|
"eval_loss": 0.049174223095178604, |
|
"eval_runtime": 3.2604, |
|
"eval_samples_per_second": 950.797, |
|
"eval_steps_per_second": 19.936, |
|
"step": 1272 |
|
}, |
|
{ |
|
"epoch": 4.72, |
|
"grad_norm": 0.36201611161231995, |
|
"learning_rate": 9.517819706498952e-06, |
|
"loss": 0.0706, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.9058064516129032, |
|
"eval_loss": 0.040870048105716705, |
|
"eval_runtime": 2.5708, |
|
"eval_samples_per_second": 1205.872, |
|
"eval_steps_per_second": 25.284, |
|
"step": 1590 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.9112903225806451, |
|
"eval_loss": 0.035991765558719635, |
|
"eval_runtime": 3.5579, |
|
"eval_samples_per_second": 871.299, |
|
"eval_steps_per_second": 18.269, |
|
"step": 1908 |
|
}, |
|
{ |
|
"epoch": 6.29, |
|
"grad_norm": 0.304591566324234, |
|
"learning_rate": 6.02375960866527e-06, |
|
"loss": 0.0557, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.9180645161290323, |
|
"eval_loss": 0.033146169036626816, |
|
"eval_runtime": 1.8785, |
|
"eval_samples_per_second": 1650.226, |
|
"eval_steps_per_second": 34.602, |
|
"step": 2226 |
|
}, |
|
{ |
|
"epoch": 7.86, |
|
"grad_norm": 0.20553433895111084, |
|
"learning_rate": 2.5296995108315863e-06, |
|
"loss": 0.0489, |
|
"step": 2500 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2862, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9, |
|
"save_steps": 500, |
|
"total_flos": 651155886807636.0, |
|
"train_batch_size": 48, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.44158831361956363, |
|
"num_train_epochs": 9, |
|
"temperature": 13 |
|
} |
|
} |
|
|