
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# distilbert-p3

This model is a fine-tuned version of [wnic00/distilbert-p1](https://huggingface.co/wnic00/distilbert-p1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1781
- Accuracy: 0.6667

## 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: 1e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 470  | 0.9560          | 0.6784   |
| 0.4668        | 2.0   | 940  | 0.9468          | 0.6688   |
| 0.4661        | 3.0   | 1410 | 1.0576          | 0.6645   |
| 0.3769        | 4.0   | 1880 | 1.1325          | 0.6677   |
| 0.3449        | 5.0   | 2350 | 1.1781          | 0.6667   |


### 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-p1", "model-index": [{"name": "distilbert-p3", "results": []}]}
transformers pytorch tensorboard distilbert text-classification generated_from_trainer base_model:wnic00/distilbert-p1 license:apache-2.0 autotrain_compatible endpoints_compatible region:us