---
license: mit
base_model: IParraMartin/XLM-EusBERTa-V1
tags:
- generated_from_trainer
datasets:
- basque_glue
model-index:
- name: XLM-EusBERTa-sentiment-classification
  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. -->

# XLM-EusBERTa-sentiment-classification

This model is a fine-tuned version of [IParraMartin/XLM-EusBERTa-V1](https://huggingface.co/IParraMartin/XLM-EusBERTa-V1) on the basque_glue dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0882

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.106         | 1.0   | 760   | 1.0912          |
| 1.1012        | 2.0   | 1520  | 1.0923          |
| 1.1021        | 3.0   | 2280  | 1.0906          |
| 1.1026        | 4.0   | 3040  | 1.0890          |
| 1.099         | 5.0   | 3800  | 1.0897          |
| 1.0989        | 6.0   | 4560  | 1.0892          |
| 1.0958        | 7.0   | 5320  | 1.0883          |
| 1.0972        | 8.0   | 6080  | 1.0891          |
| 1.0929        | 9.0   | 6840  | 1.0989          |
| 1.0967        | 10.0  | 7600  | 1.0918          |
| 1.0884        | 11.0  | 8360  | 1.0894          |
| 1.0921        | 12.0  | 9120  | 1.0898          |
| 1.0934        | 13.0  | 9880  | 1.0894          |
| 1.0911        | 14.0  | 10640 | 1.0891          |
| 1.0907        | 15.0  | 11400 | 1.0889          |
| 1.0952        | 16.0  | 12160 | 1.0909          |
| 1.0865        | 17.0  | 12920 | 1.0883          |
| 1.0916        | 18.0  | 13680 | 1.0884          |
| 1.0919        | 19.0  | 14440 | 1.0883          |
| 1.0899        | 20.0  | 15200 | 1.0882          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0