Marcos12886's picture
Upload folder using huggingface_hub
925fa09 verified
raw
history blame
4.05 kB
{
"best_metric": 0.9901960784313726,
"best_model_checkpoint": "distilhubert-finetuned-cry-detector/checkpoint-76",
"epoch": 7.529411764705882,
"eval_steps": 500,
"global_step": 96,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.9411764705882353,
"eval_accuracy": 0.9558823529411765,
"eval_f1": 0.9558168094824137,
"eval_loss": 0.18768352270126343,
"eval_precision": 0.9558008500901145,
"eval_recall": 0.9558823529411765,
"eval_runtime": 3.1767,
"eval_samples_per_second": 64.218,
"eval_steps_per_second": 8.185,
"step": 12
},
{
"epoch": 1.9607843137254903,
"eval_accuracy": 0.9607843137254902,
"eval_f1": 0.9603980954872683,
"eval_loss": 0.10839918255805969,
"eval_precision": 0.961865628604383,
"eval_recall": 0.9607843137254902,
"eval_runtime": 3.1396,
"eval_samples_per_second": 64.977,
"eval_steps_per_second": 8.281,
"step": 25
},
{
"epoch": 2.980392156862745,
"eval_accuracy": 0.9607843137254902,
"eval_f1": 0.9608937528499771,
"eval_loss": 0.07022649049758911,
"eval_precision": 0.9611995291537668,
"eval_recall": 0.9607843137254902,
"eval_runtime": 3.1392,
"eval_samples_per_second": 64.985,
"eval_steps_per_second": 8.282,
"step": 38
},
{
"epoch": 4.0,
"eval_accuracy": 0.9705882352941176,
"eval_f1": 0.9707454527863777,
"eval_loss": 0.05151732638478279,
"eval_precision": 0.9716895305130601,
"eval_recall": 0.9705882352941176,
"eval_runtime": 3.1558,
"eval_samples_per_second": 64.644,
"eval_steps_per_second": 8.239,
"step": 51
},
{
"epoch": 4.9411764705882355,
"eval_accuracy": 0.9754901960784313,
"eval_f1": 0.9754537830457853,
"eval_loss": 0.04813842847943306,
"eval_precision": 0.9754681544268864,
"eval_recall": 0.9754901960784313,
"eval_runtime": 3.2298,
"eval_samples_per_second": 63.162,
"eval_steps_per_second": 8.05,
"step": 63
},
{
"epoch": 5.96078431372549,
"eval_accuracy": 0.9901960784313726,
"eval_f1": 0.9901960784313726,
"eval_loss": 0.030143579468131065,
"eval_precision": 0.9901960784313726,
"eval_recall": 0.9901960784313726,
"eval_runtime": 3.162,
"eval_samples_per_second": 64.516,
"eval_steps_per_second": 8.223,
"step": 76
},
{
"epoch": 6.980392156862745,
"eval_accuracy": 0.9901960784313726,
"eval_f1": 0.9901960784313726,
"eval_loss": 0.03071291744709015,
"eval_precision": 0.9901960784313726,
"eval_recall": 0.9901960784313726,
"eval_runtime": 3.1655,
"eval_samples_per_second": 64.445,
"eval_steps_per_second": 8.214,
"step": 89
},
{
"epoch": 7.529411764705882,
"eval_accuracy": 0.9901960784313726,
"eval_f1": 0.9901960784313726,
"eval_loss": 0.030666500329971313,
"eval_precision": 0.9901960784313726,
"eval_recall": 0.9901960784313726,
"eval_runtime": 3.1789,
"eval_samples_per_second": 64.172,
"eval_steps_per_second": 8.179,
"step": 96
}
],
"logging_steps": 500,
"max_steps": 96,
"num_input_tokens_seen": 0,
"num_train_epochs": 8,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 3,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 9.902803258768166e+16,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}