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# distilbert-base-uncased-RILE-v1

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8587
- Accuracy: 0.7364
- Recall: 0.7364
- F1: 0.7358

## 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: 8
- eval_batch_size: 8
- 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 | Accuracy | Recall | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|
| 0.6966        | 1.0   | 15490 | 0.6831          | 0.7164   | 0.7164 | 0.7123 |
| 0.5738        | 2.0   | 30980 | 0.6934          | 0.7300   | 0.7300 | 0.7300 |
| 0.422         | 3.0   | 46470 | 0.8587          | 0.7364   | 0.7364 | 0.7358 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-RILE-v1", "results": []}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us