---
library_name: transformers
license: mit
base_model: mmaguero/gn-bert-tiny-cased
tags:
- generated_from_trainer
model-index:
- name: multi-wiki-qa-gn-bert-tiny-cased
  results: []
datasets:
- alexandrainst/multi-wiki-qa
language:
- es
- gn
- grn
- gug
metrics:
- squad
---

<!-- 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. -->

# multi-wiki-qa-gn-bert-tiny-cased

> [!WARNING]
> **WARNING:** This model is **no recommended**.  
> For a best model, please use:  
> [mmaguero/multi-wiki-qa-gn-xlm-v-base](https://huggingface.co/mmaguero/multi-wiki-qa-gn-xlm-v-base)


This model is a fine-tuned version of [mmaguero/gn-bert-tiny-cased](https://huggingface.co/mmaguero/gn-bert-tiny-cased) on [alexandrainst/multi-wiki-qa](https://huggingface.co/datasets/alexandrainst/multi-wiki-qa) dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5804

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1