|
{ |
|
"best_metric": 1.347914457321167, |
|
"best_model_checkpoint": "/tmp/model/checkpoint-30", |
|
"epoch": 3.0, |
|
"eval_steps": 500, |
|
"global_step": 30, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 1.6666666666666667e-05, |
|
"loss": 1.3863, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 3.3333333333333335e-05, |
|
"loss": 1.3863, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"learning_rate": 5e-05, |
|
"loss": 1.3853, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"learning_rate": 4.814814814814815e-05, |
|
"loss": 1.3822, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.5, |
|
"learning_rate": 4.62962962962963e-05, |
|
"loss": 1.3799, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"learning_rate": 4.4444444444444447e-05, |
|
"loss": 1.3753, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.7, |
|
"learning_rate": 4.259259259259259e-05, |
|
"loss": 1.3704, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"learning_rate": 4.074074074074074e-05, |
|
"loss": 1.375, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"learning_rate": 3.888888888888889e-05, |
|
"loss": 1.3574, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 3.7037037037037037e-05, |
|
"loss": 1.3805, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.65, |
|
"eval_f1_macro": 0.196969696969697, |
|
"eval_f1_micro": 0.65, |
|
"eval_f1_weighted": 0.5121212121212122, |
|
"eval_loss": 1.3667380809783936, |
|
"eval_precision_macro": 0.1625, |
|
"eval_precision_micro": 0.65, |
|
"eval_precision_weighted": 0.42250000000000004, |
|
"eval_recall_macro": 0.25, |
|
"eval_recall_micro": 0.65, |
|
"eval_recall_weighted": 0.65, |
|
"eval_runtime": 2.6269, |
|
"eval_samples_per_second": 7.613, |
|
"eval_steps_per_second": 0.761, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 1.1, |
|
"learning_rate": 3.518518518518519e-05, |
|
"loss": 1.3646, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"learning_rate": 3.3333333333333335e-05, |
|
"loss": 1.351, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 1.3, |
|
"learning_rate": 3.148148148148148e-05, |
|
"loss": 1.3624, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 1.4, |
|
"learning_rate": 2.962962962962963e-05, |
|
"loss": 1.3458, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"learning_rate": 2.777777777777778e-05, |
|
"loss": 1.3362, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 1.6, |
|
"learning_rate": 2.5925925925925925e-05, |
|
"loss": 1.3464, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 1.7, |
|
"learning_rate": 2.4074074074074074e-05, |
|
"loss": 1.3529, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 1.8, |
|
"learning_rate": 2.2222222222222223e-05, |
|
"loss": 1.3428, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 1.9, |
|
"learning_rate": 2.037037037037037e-05, |
|
"loss": 1.3329, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 1.8518518518518518e-05, |
|
"loss": 1.3722, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.65, |
|
"eval_f1_macro": 0.196969696969697, |
|
"eval_f1_micro": 0.65, |
|
"eval_f1_weighted": 0.5121212121212122, |
|
"eval_loss": 1.356222152709961, |
|
"eval_precision_macro": 0.1625, |
|
"eval_precision_micro": 0.65, |
|
"eval_precision_weighted": 0.42250000000000004, |
|
"eval_recall_macro": 0.25, |
|
"eval_recall_micro": 0.65, |
|
"eval_recall_weighted": 0.65, |
|
"eval_runtime": 2.8668, |
|
"eval_samples_per_second": 6.976, |
|
"eval_steps_per_second": 0.698, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 2.1, |
|
"learning_rate": 1.6666666666666667e-05, |
|
"loss": 1.347, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 2.2, |
|
"learning_rate": 1.4814814814814815e-05, |
|
"loss": 1.3339, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 2.3, |
|
"learning_rate": 1.2962962962962962e-05, |
|
"loss": 1.3488, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"learning_rate": 1.1111111111111112e-05, |
|
"loss": 1.3389, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 2.5, |
|
"learning_rate": 9.259259259259259e-06, |
|
"loss": 1.3107, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 2.6, |
|
"learning_rate": 7.4074074074074075e-06, |
|
"loss": 1.33, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 2.7, |
|
"learning_rate": 5.555555555555556e-06, |
|
"loss": 1.3569, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 2.8, |
|
"learning_rate": 3.7037037037037037e-06, |
|
"loss": 1.3224, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 2.9, |
|
"learning_rate": 1.8518518518518519e-06, |
|
"loss": 1.3139, |
|
"step": 29 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 0.0, |
|
"loss": 1.3737, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.65, |
|
"eval_f1_macro": 0.196969696969697, |
|
"eval_f1_micro": 0.65, |
|
"eval_f1_weighted": 0.5121212121212122, |
|
"eval_loss": 1.347914457321167, |
|
"eval_precision_macro": 0.1625, |
|
"eval_precision_micro": 0.65, |
|
"eval_precision_weighted": 0.42250000000000004, |
|
"eval_recall_macro": 0.25, |
|
"eval_recall_micro": 0.65, |
|
"eval_recall_weighted": 0.65, |
|
"eval_runtime": 2.8418, |
|
"eval_samples_per_second": 7.038, |
|
"eval_steps_per_second": 0.704, |
|
"step": 30 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 30, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"total_flos": 4969950478811136.0, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|