---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Basque_Dialects_Classification
  results: []
widget:
- text: "Gaur eskolara etorri naiz"
  example_title: "Example 1"
- text: "Gaur eskolara etorri naz"
  example_title: "Example 2"
---

<!-- 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. -->

# Basque_Dialects_Classification

This model is a fine-tuned version of [ixa-ehu/roberta-eus-cc100-base-cased](https://huggingface.co/ixa-ehu/roberta-eus-cc100-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4558
- F1: 0.6846

## 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: 7.2193610624691235e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.7
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.4126        | 1.0   | 9611  | 1.4626          | 0.5893 |
| 1.3446        | 2.0   | 19222 | 1.5642          | 0.6421 |
| 1.0157        | 3.0   | 28833 | 1.5049          | 0.6596 |
| 1.3012        | 4.0   | 38444 | 1.4939          | 0.6708 |
| 1.0824        | 5.0   | 48055 | 1.4558          | 0.6846 |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1