Pablo94's picture
End of training
9e7b021 verified
metadata
license: apache-2.0
base_model: BSC-TeMU/roberta-base-bne
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
model-index:
  - name: roberta-base-bne-finetuned-detests-wandb24
    results: []

roberta-base-bne-finetuned-detests-wandb24

This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3730
  • Accuracy: 0.8592
  • F1-score: 0.7922
  • Precision: 0.8046
  • Recall: 0.7820
  • Auc: 0.7820

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy F1-score Precision Recall Auc
0.344 1.0 77 0.3268 0.8642 0.7814 0.8347 0.7522 0.7522
0.1996 2.0 154 0.3730 0.8592 0.7922 0.8046 0.7820 0.7820

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.1