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# munchhausen_v5_fiftyfifty_2

This model is a fine-tuned version of [emanjavacas/GysBERT-v2](https://huggingface.co/emanjavacas/GysBERT-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0391
- Precision: 0.7291
- Recall: 0.7481
- F1: 0.7385
- Accuracy: 0.9893

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0399        | 1.0   | 136  | 0.0408          | 0.7868    | 0.6805 | 0.7298 | 0.9885   |
| 0.0236        | 2.0   | 272  | 0.0382          | 0.6914    | 0.7740 | 0.7304 | 0.9884   |
| 0.0181        | 3.0   | 408  | 0.0391          | 0.7291    | 0.7481 | 0.7385 | 0.9893   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "emanjavacas/GysBERT-v2", "model-index": [{"name": "munchhausen_v5_fiftyfifty_2", "results": []}]}
transformers safetensors bert token-classification generated_from_trainer base_model:emanjavacas/GysBERT-v2 autotrain_compatible endpoints_compatible region:us