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# veriga

This model is a fine-tuned version of [veriga/distilbert-base-uncased-finetuned-cola](https://huggingface.co/veriga/distilbert-base-uncased-finetuned-cola) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.9335
- Train Sparse Categorical Accuracy: 0.4537
- Validation Loss: 1.9743
- Validation Sparse Categorical Accuracy: 0.4488
- Epoch: 2

## 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:
- optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
| 1.9359     | 0.4543                            | 1.9947          | 0.4505                                 | 0     |
| 1.9330     | 0.4547                            | 1.9796          | 0.4514                                 | 1     |
| 1.9335     | 0.4537                            | 1.9743          | 0.4488                                 | 2     |


### Framework versions

- Transformers 4.36.2
- TensorFlow 2.8.2
- Datasets 2.2.2
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "veriga/distilbert-base-uncased-finetuned-cola", "model-index": [{"name": "veriga", "results": []}]}
transformers tf bert text-classification generated_from_keras_callback base_model:veriga/distilbert-base-uncased-finetuned-cola license:apache-2.0 autotrain_compatible endpoints_compatible region:us