metadata
license: cc-by-4.0
base_model: dccuchile/tulio-chilean-spanish-bert
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: mutual-full-v2-preproc
results: []
mutual-full-v2-preproc
This model is a fine-tuned version of dccuchile/tulio-chilean-spanish-bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3775
- Accuracy: 0.9020
- Precision: 0.9022
- Recall: 0.9020
- F1: 0.9020
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: 10
- 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 | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.4642 | 0.59 | 500 | 0.3463 | 0.8608 | 0.8610 | 0.8608 | 0.8607 |
| 0.3661 | 1.17 | 1000 | 0.3150 | 0.8861 | 0.8903 | 0.8861 | 0.8858 |
| 0.2999 | 1.76 | 1500 | 0.3704 | 0.8861 | 0.8883 | 0.8861 | 0.8859 |
| 0.2378 | 2.34 | 2000 | 0.3593 | 0.9034 | 0.9036 | 0.9034 | 0.9034 |
| 0.2031 | 2.93 | 2500 | 0.3775 | 0.9020 | 0.9022 | 0.9020 | 0.9020 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2