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# ndaclassifier

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2046
- Accuracy: 0.9606

## 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
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2504        | 1.0   | 1535 | 0.2205          | 0.9518   |
| 0.1465        | 2.0   | 3070 | 0.2006          | 0.9547   |
| 0.0908        | 3.0   | 4605 | 0.2046          | 0.9606   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.16.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "ndaclassifier", "results": []}]}
transformers safetensors distilbert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us