
<!-- 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. -->

# results

This model is a fine-tuned version of [textattack/distilbert-base-cased-CoLA](https://huggingface.co/textattack/distilbert-base-cased-CoLA) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8889

## 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 0.8889          |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.1.2+cpu
- Datasets 2.16.1
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "base_model": "textattack/distilbert-base-cased-CoLA", "model-index": [{"name": "results", "results": []}]}
transformers safetensors distilbert text-classification generated_from_trainer base_model:textattack/distilbert-base-cased-CoLA autotrain_compatible endpoints_compatible region:us