metadata
library_name: transformers
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: beto-pos
results: []
beto-pos
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: 0.0903
- Precision: 0.9794
- Recall: 0.9823
- F1: 0.9808
- Accuracy: 0.9817
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.4542 | 1.0 | 603 | 0.1095 | 0.9714 | 0.9743 | 0.9728 | 0.9758 |
| 0.0598 | 2.0 | 1206 | 0.0948 | 0.9787 | 0.9806 | 0.9797 | 0.9792 |
| 0.0348 | 3.0 | 1809 | 0.0903 | 0.9794 | 0.9823 | 0.9808 | 0.9817 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1