---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distillbert-base-spanish-uncased-finetuned-suicidios
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distillbert-base-spanish-uncased-finetuned-suicidios

This model is a fine-tuned version of [CenIA/distillbert-base-spanish-uncased](https://huggingface.co/CenIA/distillbert-base-spanish-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2970
- Accuracy: 0.9483
- F1: 0.9483

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.3543        | 1.0   | 9618  | 0.2688          | 0.9422   | 0.9422 |
| 0.1726        | 2.0   | 19236 | 0.2970          | 0.9483   | 0.9483 |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1