---
library_name: transformers
license: apache-2.0
base_model: EuroBERT/EuroBERT-210m
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: euro_biodiversity
  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. -->

# euro_biodiversity

This model is a fine-tuned version of [EuroBERT/EuroBERT-210m](https://huggingface.co/EuroBERT/EuroBERT-210m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0427
- Accuracy: 0.9912
- F1: 0.9912

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.8497        | 1.0   | 510  | 1.2038          | 0.5608   | 0.4813 |
| 1.0041        | 2.0   | 1020 | 0.6259          | 0.7922   | 0.7569 |
| 0.6072        | 3.0   | 1530 | 0.3784          | 0.8907   | 0.8871 |
| 0.4545        | 4.0   | 2040 | 0.2004          | 0.9456   | 0.9461 |
| 0.3165        | 5.0   | 2550 | 0.1290          | 0.9676   | 0.9675 |
| 0.1852        | 6.0   | 3060 | 0.1372          | 0.9706   | 0.9706 |
| 0.1357        | 7.0   | 3570 | 0.0722          | 0.9838   | 0.9838 |
| 0.1025        | 8.0   | 4080 | 0.0734          | 0.9868   | 0.9868 |
| 0.101         | 9.0   | 4590 | 0.0497          | 0.9902   | 0.9902 |
| 0.0775        | 10.0  | 5100 | 0.0423          | 0.9887   | 0.9887 |
| 0.0653        | 11.0  | 5610 | 0.0463          | 0.9907   | 0.9907 |
| 0.0624        | 12.0  | 6120 | 0.0427          | 0.9912   | 0.9912 |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0