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---
base_model: dccuchile/distilbert-base-spanish-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-spanish-uncased-finetuned-text-intelligence
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-spanish-uncased-finetuned-text-intelligence
This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6945
- Accuracy: 0.8834
- F1: 0.8827
## 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: 1e-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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.0148 | 1.0 | 235 | 0.7880 | 0.7138 | 0.6551 |
| 0.6349 | 2.0 | 470 | 0.5415 | 0.8516 | 0.8500 |
| 0.4709 | 3.0 | 705 | 0.4505 | 0.8587 | 0.8613 |
| 0.3727 | 4.0 | 940 | 0.4156 | 0.8905 | 0.8900 |
| 0.3163 | 5.0 | 1175 | 0.4262 | 0.8905 | 0.8910 |
| 0.2695 | 6.0 | 1410 | 0.5090 | 0.8869 | 0.8874 |
| 0.2332 | 7.0 | 1645 | 0.5014 | 0.8869 | 0.8865 |
| 0.1811 | 8.0 | 1880 | 0.5735 | 0.8834 | 0.8827 |
| 0.1542 | 9.0 | 2115 | 0.5626 | 0.8940 | 0.8932 |
| 0.1192 | 10.0 | 2350 | 0.5680 | 0.8905 | 0.8900 |
| 0.124 | 11.0 | 2585 | 0.6291 | 0.8869 | 0.8857 |
| 0.0988 | 12.0 | 2820 | 0.6424 | 0.8834 | 0.8835 |
| 0.0933 | 13.0 | 3055 | 0.7085 | 0.8693 | 0.8668 |
| 0.0813 | 14.0 | 3290 | 0.6560 | 0.8905 | 0.8893 |
| 0.0599 | 15.0 | 3525 | 0.7175 | 0.8799 | 0.8793 |
| 0.0632 | 16.0 | 3760 | 0.6862 | 0.8799 | 0.8786 |
| 0.0489 | 17.0 | 3995 | 0.7064 | 0.8869 | 0.8858 |
| 0.0449 | 18.0 | 4230 | 0.7046 | 0.8834 | 0.8830 |
| 0.039 | 19.0 | 4465 | 0.6997 | 0.8799 | 0.8790 |
| 0.0388 | 20.0 | 4700 | 0.6945 | 0.8834 | 0.8827 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.1.0
- Datasets 2.19.0
- Tokenizers 0.19.1
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