---
library_name: transformers
base_model: bigbio/bigbio-mtl
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: segment-classifier-spanish
  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. -->

# segment-classifier-spanish

This model is a fine-tuned version of [bigbio/bigbio-mtl](https://huggingface.co/bigbio/bigbio-mtl) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7416
- Accuracy: 0.8265
- F1: 0.8258

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.8505        | 1.0   | 660  | 0.7818          | 0.7611   | 0.7489 |
| 0.5793        | 2.0   | 1320 | 0.6976          | 0.7858   | 0.7714 |
| 0.4468        | 3.0   | 1980 | 0.6740          | 0.8142   | 0.8167 |
| 0.3525        | 4.0   | 2640 | 0.7416          | 0.8265   | 0.8258 |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1