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# roberta-police-mission-statement

This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2607
- Accuracy: 0.9233

## 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: 0.001
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 198  | 0.2544          | 0.9006   |
| No log        | 2.0   | 396  | 0.1832          | 0.9119   |
| 0.3159        | 3.0   | 594  | 0.2537          | 0.9347   |
| 0.3159        | 4.0   | 792  | 0.1902          | 0.9347   |
| 0.3159        | 5.0   | 990  | 0.2607          | 0.9233   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-large", "model-index": [{"name": "roberta-police-mission-statement", "results": []}]}
transformers pytorch tensorboard safetensors roberta text-classification generated_from_trainer base_model:roberta-large license:mit autotrain_compatible endpoints_compatible region:us