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# distilbert-p4

This model is a fine-tuned version of [wnic00/distilbert-p3](https://huggingface.co/wnic00/distilbert-p3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8854
- Accuracy: 0.6265

## 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-06
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.978         | 1.0   | 904  | 0.8805          | 0.5977   |
| 0.836         | 2.0   | 1808 | 0.8550          | 0.6093   |
| 0.785         | 3.0   | 2712 | 0.8558          | 0.6220   |
| 0.7298        | 4.0   | 3616 | 0.8702          | 0.6198   |
| 0.6805        | 5.0   | 4520 | 0.8854          | 0.6265   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cpu
- Datasets 2.14.4
- Tokenizers 0.13.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "wnic00/distilbert-p3", "model-index": [{"name": "distilbert-p4", "results": []}]}
transformers pytorch tensorboard distilbert text-classification generated_from_trainer base_model:wnic00/distilbert-p3 license:apache-2.0 autotrain_compatible endpoints_compatible region:us