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# distilbert_sst2_padding20model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8375
- Accuracy: 0.9110

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 433  | 0.2668          | 0.8935   |
| 0.3473        | 2.0   | 866  | 0.3801          | 0.8814   |
| 0.1828        | 3.0   | 1299 | 0.3816          | 0.9061   |
| 0.0818        | 4.0   | 1732 | 0.5191          | 0.8973   |
| 0.0522        | 5.0   | 2165 | 0.6669          | 0.8946   |
| 0.0251        | 6.0   | 2598 | 0.6408          | 0.9072   |
| 0.0123        | 7.0   | 3031 | 0.6982          | 0.9006   |
| 0.0123        | 8.0   | 3464 | 0.7690          | 0.8962   |
| 0.011         | 9.0   | 3897 | 0.7984          | 0.9012   |
| 0.0057        | 10.0  | 4330 | 0.7417          | 0.9044   |
| 0.02          | 11.0  | 4763 | 0.7771          | 0.9088   |
| 0.0088        | 12.0  | 5196 | 0.7492          | 0.9033   |
| 0.0105        | 13.0  | 5629 | 0.8034          | 0.9033   |
| 0.0077        | 14.0  | 6062 | 0.7967          | 0.9033   |
| 0.0077        | 15.0  | 6495 | 0.8108          | 0.9088   |
| 0.0031        | 16.0  | 6928 | 0.8189          | 0.9088   |
| 0.0033        | 17.0  | 7361 | 0.8219          | 0.9116   |
| 0.0017        | 18.0  | 7794 | 0.8460          | 0.9077   |
| 0.0009        | 19.0  | 8227 | 0.8520          | 0.9099   |
| 0.0002        | 20.0  | 8660 | 0.8375          | 0.9110   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert_sst2_padding20model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us