metadata
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: bryan-NM
results: []
bryan-NM
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7199
- Accuracy: 0.5748
- F1: 0.5605
- Precision: 0.5671
- Recall: 0.5748
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 1.7351 | 1.0 | 3538 | 1.7392 | 0.5337 | 0.4912 | 0.4894 | 0.5337 |
| 1.437 | 2.0 | 7076 | 1.5840 | 0.5612 | 0.5349 | 0.5385 | 0.5612 |
| 1.2189 | 3.0 | 10614 | 1.5880 | 0.5726 | 0.5404 | 0.5349 | 0.5726 |
| 1.0029 | 4.0 | 14152 | 1.6101 | 0.5782 | 0.5657 | 0.5679 | 0.5782 |
| 0.8513 | 5.0 | 17690 | 1.7199 | 0.5748 | 0.5605 | 0.5671 | 0.5748 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2