---
license: apache-2.0
library_name: transformers
tags:
- sweep
- fine-tuned
---
# SweepBestModel

This model was selected as the best checkpoint from a hyperparameter sweep over 8 runs. It achieved the highest evaluation accuracy across all configurations tested.

## Model Details

- **Model type:** Encoder-only transformer
- **Training objective:** Sequence classification
- **Sweep strategy:** Bayesian optimization

## Evaluation Results

| Metric | Value |
|---|---|
| eval_accuracy | 0.901 |
| eval_loss | 0.245 |
| f1_score | 0.894 |
| precision | 0.908 |
| recall | 0.881 |

## Training Configuration

The best run was trained with the following hyperparameters:

| Parameter | Value |
|---|---|
| learning_rate | 2e-05 |
| batch_size | 64 |
| epochs | 12 |
| weight_decay | 0.001 |

## Usage

```python
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("SweepBestModel-TestRepo")
tokenizer = AutoTokenizer.from_pretrained("SweepBestModel-TestRepo")
```

## License

This model is licensed under the Apache-2.0 License.