news_classifier-bert / trainer_state.json
MehdiHosseiniMoghadam's picture
Upload folder using huggingface_hub
6f379d2 verified
raw history blame
No virus
2.96 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.8710801393728222,
"eval_steps": 100,
"global_step": 500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.17,
"grad_norm": 0.18273070454597473,
"learning_rate": 1e-05,
"loss": 1.1276,
"step": 100
},
{
"epoch": 0.17,
"eval_acc": 0.9980372914622179,
"eval_f1 score": 0.9988269794721408,
"eval_loss": 0.009664908051490784,
"eval_precision": 0.9994131455399061,
"eval_recall": 0.9982415005861665,
"eval_runtime": 35.543,
"eval_samples_per_second": 57.339,
"eval_steps_per_second": 1.801,
"step": 100
},
{
"epoch": 0.35,
"grad_norm": 0.015436016023159027,
"learning_rate": 2e-05,
"loss": 0.0073,
"step": 200
},
{
"epoch": 0.35,
"eval_acc": 0.9980372914622179,
"eval_f1 score": 0.9988283538371412,
"eval_loss": 0.004532838240265846,
"eval_precision": 0.9982435597189696,
"eval_recall": 0.9994138335287222,
"eval_runtime": 35.7648,
"eval_samples_per_second": 56.983,
"eval_steps_per_second": 1.789,
"step": 200
},
{
"epoch": 0.52,
"grad_norm": 0.009873462840914726,
"learning_rate": 3e-05,
"loss": 0.0029,
"step": 300
},
{
"epoch": 0.52,
"eval_acc": 0.9995093228655545,
"eval_f1 score": 0.9997068308413954,
"eval_loss": 0.0031382227316498756,
"eval_precision": 1.0,
"eval_recall": 0.9994138335287222,
"eval_runtime": 35.8701,
"eval_samples_per_second": 56.816,
"eval_steps_per_second": 1.784,
"step": 300
},
{
"epoch": 0.7,
"grad_norm": 0.00707666901871562,
"learning_rate": 4e-05,
"loss": 0.008,
"step": 400
},
{
"epoch": 0.7,
"eval_acc": 1.0,
"eval_f1 score": 1.0,
"eval_loss": 0.00025456614093855023,
"eval_precision": 1.0,
"eval_recall": 1.0,
"eval_runtime": 35.7717,
"eval_samples_per_second": 56.972,
"eval_steps_per_second": 1.789,
"step": 400
},
{
"epoch": 0.87,
"grad_norm": 0.05433596670627594,
"learning_rate": 5e-05,
"loss": 0.0103,
"step": 500
},
{
"epoch": 0.87,
"eval_acc": 0.9985279685966634,
"eval_f1 score": 0.9991199765327076,
"eval_loss": 0.005017507821321487,
"eval_precision": 1.0,
"eval_recall": 0.9982415005861665,
"eval_runtime": 35.9127,
"eval_samples_per_second": 56.749,
"eval_steps_per_second": 1.782,
"step": 500
}
],
"logging_steps": 100,
"max_steps": 574,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 500,
"total_flos": 2119478378496000.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}