Marcos12886's picture
Upload folder using huggingface_hub
ee61ac2 verified
raw
history blame
4.02 kB
{
"best_metric": 0.9950980392156863,
"best_model_checkpoint": "distilhubert-finetuned-cry-detector/checkpoint-102",
"epoch": 8.0,
"eval_steps": 500,
"global_step": 102,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.9411764705882353,
"eval_accuracy": 0.9362745098039216,
"eval_f1": 0.9365356058160116,
"eval_loss": 0.19313116371631622,
"eval_precision": 0.9372234219385678,
"eval_recall": 0.9362745098039216,
"eval_runtime": 3.0986,
"eval_samples_per_second": 65.836,
"eval_steps_per_second": 8.391,
"step": 12
},
{
"epoch": 1.9607843137254903,
"eval_accuracy": 0.9705882352941176,
"eval_f1": 0.9704025549613785,
"eval_loss": 0.09495726972818375,
"eval_precision": 0.971039759187257,
"eval_recall": 0.9705882352941176,
"eval_runtime": 3.1171,
"eval_samples_per_second": 65.446,
"eval_steps_per_second": 8.341,
"step": 25
},
{
"epoch": 2.980392156862745,
"eval_accuracy": 0.9803921568627451,
"eval_f1": 0.9803921568627451,
"eval_loss": 0.06114682927727699,
"eval_precision": 0.9803921568627451,
"eval_recall": 0.9803921568627451,
"eval_runtime": 3.2163,
"eval_samples_per_second": 63.428,
"eval_steps_per_second": 8.084,
"step": 38
},
{
"epoch": 4.0,
"eval_accuracy": 0.9852941176470589,
"eval_f1": 0.9852722698274712,
"eval_loss": 0.049169763922691345,
"eval_precision": 0.9853018065952722,
"eval_recall": 0.9852941176470589,
"eval_runtime": 3.1223,
"eval_samples_per_second": 65.336,
"eval_steps_per_second": 8.327,
"step": 51
},
{
"epoch": 4.9411764705882355,
"eval_accuracy": 0.9803921568627451,
"eval_f1": 0.9804969685242518,
"eval_loss": 0.05879249796271324,
"eval_precision": 0.9813976872800402,
"eval_recall": 0.9803921568627451,
"eval_runtime": 3.1449,
"eval_samples_per_second": 64.868,
"eval_steps_per_second": 8.267,
"step": 63
},
{
"epoch": 5.96078431372549,
"eval_accuracy": 0.9852941176470589,
"eval_f1": 0.9853150765112866,
"eval_loss": 0.03680075705051422,
"eval_precision": 0.9853868369053048,
"eval_recall": 0.9852941176470589,
"eval_runtime": 3.1698,
"eval_samples_per_second": 64.358,
"eval_steps_per_second": 8.203,
"step": 76
},
{
"epoch": 6.980392156862745,
"eval_accuracy": 0.9901960784313726,
"eval_f1": 0.9901663478316141,
"eval_loss": 0.0382298119366169,
"eval_precision": 0.9903446226975638,
"eval_recall": 0.9901960784313726,
"eval_runtime": 3.1376,
"eval_samples_per_second": 65.019,
"eval_steps_per_second": 8.287,
"step": 89
},
{
"epoch": 8.0,
"eval_accuracy": 0.9950980392156863,
"eval_f1": 0.995090756609157,
"eval_loss": 0.03175761550664902,
"eval_precision": 0.995135458763658,
"eval_recall": 0.9950980392156863,
"eval_runtime": 2.949,
"eval_samples_per_second": 69.175,
"eval_steps_per_second": 8.816,
"step": 102
}
],
"logging_steps": 500,
"max_steps": 120,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"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": false
},
"attributes": {}
}
},
"total_flos": 1.052064945063383e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}