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---
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
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