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---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: BasqueBerta-base-FT
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. -->
# BasqueBerta-base-FT
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3019
## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 65 | 3.3258 |
| No log | 2.0 | 130 | 3.0231 |
| No log | 3.0 | 195 | 3.0215 |
| No log | 4.0 | 260 | 2.9057 |
| No log | 5.0 | 325 | 2.6933 |
| No log | 6.0 | 390 | 2.7688 |
| No log | 7.0 | 455 | 2.4967 |
| 2.917 | 8.0 | 520 | 2.4606 |
| 2.917 | 9.0 | 585 | 2.4320 |
| 2.917 | 10.0 | 650 | 2.3019 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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