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# zero-shot_text_classification_fine_tuned

This model is a fine-tuned version of [MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli](https://huggingface.co/MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6329
- Accuracy: 0.8235
- F1: 0.8241
- Log Loss: 0.6329

## 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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Log Loss |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|
| No log        | 1.0   | 375  | 1.1586          | 0.5505   | 0.5121 | 1.1586   |
| 1.4748        | 2.0   | 750  | 0.7917          | 0.7495   | 0.7506 | 0.7917   |
| 0.7813        | 3.0   | 1125 | 0.6692          | 0.798    | 0.7989 | 0.6692   |
| 0.5346        | 4.0   | 1500 | 0.6359          | 0.811    | 0.8105 | 0.6359   |
| 0.5346        | 5.0   | 1875 | 0.6329          | 0.8235   | 0.8241 | 0.6329   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli", "model-index": [{"name": "zero-shot_text_classification_fine_tuned", "results": []}]}
transformers tensorboard safetensors deberta-v2 text-classification generated_from_trainer base_model:MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli license:mit autotrain_compatible endpoints_compatible region:us