metadata
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: fake-news-bert-base-spanish-wwm-cased
results: []
fake-news-bert-base-spanish-wwm-cased
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5040
- F1: 0.8767
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 13
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.512 | 1.0 | 70 | 0.5347 | 0.7474 |
| 0.2281 | 2.0 | 140 | 0.3820 | 0.8333 |
| 0.1212 | 3.0 | 210 | 0.3824 | 0.8908 |
| 0.0495 | 4.0 | 280 | 0.4417 | 0.8818 |
| 0.0221 | 5.0 | 350 | 0.5040 | 0.8767 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3