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# bert-fine-tuned-cola

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7804
- Matthews Correlation: 0.5692

## 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: 2e-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 | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.4613        | 1.0   | 1069 | 0.4303          | 0.5507               |
| 0.3238        | 2.0   | 2138 | 0.6988          | 0.5778               |
| 0.1973        | 3.0   | 3207 | 0.7804          | 0.5692               |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["matthews_correlation"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-fine-tuned-cola", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "glue", "type": "glue", "config": "cola", "split": "validation", "args": "cola"}, "metrics": [{"type": "matthews_correlation", "value": 0.5691684038863919, "name": "Matthews Correlation"}]}]}]}
transformers pytorch bert text-classification generated_from_trainer dataset:glue base_model:bert-base-cased license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us