---
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tweet-eval-sentiment_es
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tweet-eval-sentiment_es

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3731
- Accuracy: 0.6598

## 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: 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 230  | 0.8184          | 0.6586   |
| No log        | 2.0   | 460  | 0.9354          | 0.6782   |
| 0.6934        | 3.0   | 690  | 1.3731          | 0.6598   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2