---
base_model: dccuchile/distilbert-base-spanish-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-spanish-uncased-2023-11-13-18-01
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-spanish-uncased-2023-11-13-18-01

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: 1.3884

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5316        | 0.59  | 500  | 2.2591          |
| 2.2197        | 1.19  | 1000 | 1.9800          |
| 2.0108        | 1.78  | 1500 | 1.8304          |
| 1.855         | 2.38  | 2000 | 1.7229          |
| 1.7933        | 2.97  | 2500 | 1.6561          |
| 1.7466        | 3.56  | 3000 | 1.6101          |
| 1.6906        | 4.16  | 3500 | 1.5588          |
| 1.6301        | 4.75  | 4000 | 1.5264          |
| 1.6131        | 5.34  | 4500 | 1.4893          |
| 1.5731        | 5.94  | 5000 | 1.4626          |
| 1.5248        | 6.53  | 5500 | 1.4445          |
| 1.509         | 7.13  | 6000 | 1.4274          |
| 1.5083        | 7.72  | 6500 | 1.4109          |
| 1.5277        | 8.31  | 7000 | 1.4051          |
| 1.4884        | 8.91  | 7500 | 1.3872          |
| 1.496         | 9.5   | 8000 | 1.3912          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1