DeBERTa-CyNER / trainer_state.json
Anonymous
Upload folder using huggingface_hub
3fc6efc
{
"best_metric": 0.06852502375841141,
"best_model_checkpoint": "/content/cyner_deberta/checkpoint-1000",
"epoch": 10.0,
"eval_steps": 500,
"global_step": 3520,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.42,
"learning_rate": 1.715909090909091e-05,
"loss": 0.1285,
"step": 500
},
{
"epoch": 1.42,
"eval_accuracy": 0.982345393892738,
"eval_f1": 0.7652068126520681,
"eval_loss": 0.0761805921792984,
"eval_precision": 0.7305458768873403,
"eval_recall": 0.8033205619412516,
"eval_runtime": 4.9018,
"eval_samples_per_second": 165.652,
"eval_steps_per_second": 20.809,
"step": 500
},
{
"epoch": 2.84,
"learning_rate": 1.431818181818182e-05,
"loss": 0.041,
"step": 1000
},
{
"epoch": 2.84,
"eval_accuracy": 0.9838850397741853,
"eval_f1": 0.7952410770194114,
"eval_loss": 0.06852502375841141,
"eval_precision": 0.7800982800982801,
"eval_recall": 0.8109833971902938,
"eval_runtime": 4.9191,
"eval_samples_per_second": 165.071,
"eval_steps_per_second": 20.735,
"step": 1000
},
{
"epoch": 4.26,
"learning_rate": 1.1477272727272729e-05,
"loss": 0.024,
"step": 1500
},
{
"epoch": 4.26,
"eval_accuracy": 0.9855273287143956,
"eval_f1": 0.7982176957352005,
"eval_loss": 0.07960831373929977,
"eval_precision": 0.7956852791878173,
"eval_recall": 0.8007662835249042,
"eval_runtime": 5.1215,
"eval_samples_per_second": 158.547,
"eval_steps_per_second": 19.916,
"step": 1500
},
{
"epoch": 5.68,
"learning_rate": 8.636363636363637e-06,
"loss": 0.0156,
"step": 2000
},
{
"epoch": 5.68,
"eval_accuracy": 0.9858352578906852,
"eval_f1": 0.8049689440993788,
"eval_loss": 0.07465782761573792,
"eval_precision": 0.7835550181378477,
"eval_recall": 0.8275862068965517,
"eval_runtime": 4.9527,
"eval_samples_per_second": 163.952,
"eval_steps_per_second": 20.595,
"step": 2000
},
{
"epoch": 7.1,
"learning_rate": 5.795454545454546e-06,
"loss": 0.0106,
"step": 2500
},
{
"epoch": 7.1,
"eval_accuracy": 0.9859379009494483,
"eval_f1": 0.8139825218476903,
"eval_loss": 0.08166122436523438,
"eval_precision": 0.796092796092796,
"eval_recall": 0.8326947637292464,
"eval_runtime": 4.9286,
"eval_samples_per_second": 164.753,
"eval_steps_per_second": 20.696,
"step": 2500
},
{
"epoch": 8.52,
"learning_rate": 2.954545454545455e-06,
"loss": 0.0064,
"step": 3000
},
{
"epoch": 8.52,
"eval_accuracy": 0.9864511162432641,
"eval_f1": 0.8178438661710037,
"eval_loss": 0.08277998119592667,
"eval_precision": 0.7942238267148014,
"eval_recall": 0.842911877394636,
"eval_runtime": 4.9237,
"eval_samples_per_second": 164.917,
"eval_steps_per_second": 20.716,
"step": 3000
},
{
"epoch": 9.94,
"learning_rate": 1.1363636363636364e-07,
"loss": 0.0049,
"step": 3500
},
{
"epoch": 9.94,
"eval_accuracy": 0.9865024377726457,
"eval_f1": 0.8159700561447287,
"eval_loss": 0.0857752189040184,
"eval_precision": 0.7975609756097561,
"eval_recall": 0.8352490421455939,
"eval_runtime": 5.5982,
"eval_samples_per_second": 145.045,
"eval_steps_per_second": 18.22,
"step": 3500
},
{
"epoch": 10.0,
"step": 3520,
"total_flos": 1097378896882380.0,
"train_loss": 0.03283687870610844,
"train_runtime": 907.3969,
"train_samples_per_second": 30.968,
"train_steps_per_second": 3.879
}
],
"logging_steps": 500,
"max_steps": 3520,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 1097378896882380.0,
"trial_name": null,
"trial_params": null
}