|
{ |
|
"best_metric": 0.5636007827788649, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-4/checkpoint-48", |
|
"epoch": 5.0, |
|
"eval_steps": 500, |
|
"global_step": 240, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 0.5694383382797241, |
|
"learning_rate": 0.00021480966845398845, |
|
"loss": 0.2391, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5636007827788649, |
|
"eval_f1": 0.2829581993569132, |
|
"eval_loss": 0.21417579054832458, |
|
"eval_precision": 0.7927927927927928, |
|
"eval_recall": 0.17221135029354206, |
|
"eval_runtime": 31.6316, |
|
"eval_samples_per_second": 32.309, |
|
"eval_steps_per_second": 0.506, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.45431241393089294, |
|
"learning_rate": 0.00016110725134049132, |
|
"loss": 0.2131, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.5547945205479452, |
|
"eval_f1": 0.26016260162601623, |
|
"eval_loss": 0.20607483386993408, |
|
"eval_precision": 0.7692307692307693, |
|
"eval_recall": 0.15655577299412915, |
|
"eval_runtime": 29.4377, |
|
"eval_samples_per_second": 34.717, |
|
"eval_steps_per_second": 0.544, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 0.9347383379936218, |
|
"learning_rate": 0.00010740483422699422, |
|
"loss": 0.2102, |
|
"step": 144 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.5606653620352251, |
|
"eval_f1": 0.27697262479871176, |
|
"eval_loss": 0.2055068016052246, |
|
"eval_precision": 0.7818181818181819, |
|
"eval_recall": 0.16829745596868884, |
|
"eval_runtime": 29.2328, |
|
"eval_samples_per_second": 34.961, |
|
"eval_steps_per_second": 0.547, |
|
"step": 144 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 0.28971126675605774, |
|
"learning_rate": 5.370241711349711e-05, |
|
"loss": 0.2082, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.5499021526418787, |
|
"eval_f1": 0.23841059602649006, |
|
"eval_loss": 0.20416943728923798, |
|
"eval_precision": 0.7741935483870968, |
|
"eval_recall": 0.14090019569471623, |
|
"eval_runtime": 29.0962, |
|
"eval_samples_per_second": 35.125, |
|
"eval_steps_per_second": 0.55, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 0.20556366443634033, |
|
"learning_rate": 0.0, |
|
"loss": 0.2071, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.5567514677103719, |
|
"eval_f1": 0.26580226904376014, |
|
"eval_loss": 0.20456695556640625, |
|
"eval_precision": 0.7735849056603774, |
|
"eval_recall": 0.16046966731898238, |
|
"eval_runtime": 30.0938, |
|
"eval_samples_per_second": 33.96, |
|
"eval_steps_per_second": 0.532, |
|
"step": 240 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 240, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 1178475986400.0, |
|
"train_batch_size": 64, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.27492253593123683, |
|
"learning_rate": 0.00026851208556748554, |
|
"num_train_epochs": 5, |
|
"temperature": 7 |
|
} |
|
} |
|
|