---
library_name: transformers
license: apache-2.0
base_model: EuroBERT/EuroBERT-210m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MulderFinders
  results: []
---

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# MulderFinders

This model is a fine-tuned version of [EuroBERT/EuroBERT-210m](https://huggingface.co/EuroBERT/EuroBERT-210m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0004
- Accuracy: 1.0
- F1 Score: 1.0

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 69
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: 6

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1 Score |
|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|
| 0.1365        | 0.3030 | 20   | 0.0282          | 0.9924   | 0.9927   |
| 0.0633        | 0.6061 | 40   | 0.1290          | 0.9773   | 0.9774   |
| 0.0362        | 0.9091 | 60   | 0.0390          | 0.9962   | 0.9963   |
| 0.0271        | 1.2121 | 80   | 0.0284          | 0.9962   | 0.9963   |
| 0.0001        | 1.5152 | 100  | 0.0079          | 0.9962   | 0.9963   |
| 0.0026        | 1.8182 | 120  | 0.0322          | 0.9962   | 0.9963   |


### Framework versions

- Transformers 4.53.2
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2