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# distilbert-base-uncased-finetuned-cola

This model is a fine-tuned version of [divyavanmahajan/distilbert-base-uncased-finetuned-cola](https://huggingface.co/divyavanmahajan/distilbert-base-uncased-finetuned-cola) on the glue dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.8302
- eval_matthews_correlation: 0.5324
- eval_runtime: 0.6772
- eval_samples_per_second: 1540.061
- eval_steps_per_second: 97.453
- step: 0

## 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: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["glue"], "base_model": "divyavanmahajan/distilbert-base-uncased-finetuned-cola", "model-index": [{"name": "distilbert-base-uncased-finetuned-cola", "results": []}]}
transformers pytorch tensorboard distilbert text-classification generated_from_trainer dataset:glue base_model:divyavanmahajan/distilbert-base-uncased-finetuned-cola license:apache-2.0 autotrain_compatible endpoints_compatible region:us