---
base_model: dccuchile/bert-base-spanish-wwm-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: bert-base-spanish-analysis-app-questions
  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. -->

# bert-base-spanish-analysis-app-questions

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co./dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0004
- Accuracy: 1.0
- F1: 1.0
- Precision: 1.0
- Recall: 1.0

## 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: 32
- eval_batch_size: 32
- 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 | Accuracy | F1  | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:---------:|:------:|
| No log        | 1.0   | 22   | 0.0026          | 1.0      | 1.0 | 1.0       | 1.0    |
| No log        | 2.0   | 44   | 0.0014          | 1.0      | 1.0 | 1.0       | 1.0    |
| No log        | 3.0   | 66   | 0.0010          | 1.0      | 1.0 | 1.0       | 1.0    |
| No log        | 4.0   | 88   | 0.0008          | 1.0      | 1.0 | 1.0       | 1.0    |
| No log        | 5.0   | 110  | 0.0006          | 1.0      | 1.0 | 1.0       | 1.0    |
| No log        | 6.0   | 132  | 0.0006          | 1.0      | 1.0 | 1.0       | 1.0    |
| No log        | 7.0   | 154  | 0.0005          | 1.0      | 1.0 | 1.0       | 1.0    |
| No log        | 8.0   | 176  | 0.0005          | 1.0      | 1.0 | 1.0       | 1.0    |
| No log        | 9.0   | 198  | 0.0005          | 1.0      | 1.0 | 1.0       | 1.0    |
| No log        | 10.0  | 220  | 0.0004          | 1.0      | 1.0 | 1.0       | 1.0    |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1