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# distilbert_sst2_padding0model

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: 0.8469
- Accuracy: 0.9039

## 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  | 0.2735          | 0.8863   |
| 0.3353        | 2.0   | 866  | 0.2990          | 0.9012   |
| 0.1656        | 3.0   | 1299 | 0.4399          | 0.8929   |
| 0.0808        | 4.0   | 1732 | 0.5182          | 0.8995   |
| 0.0356        | 5.0   | 2165 | 0.7006          | 0.8874   |
| 0.0245        | 6.0   | 2598 | 0.6024          | 0.9023   |
| 0.011         | 7.0   | 3031 | 0.6860          | 0.8995   |
| 0.011         | 8.0   | 3464 | 0.7609          | 0.9012   |
| 0.0075        | 9.0   | 3897 | 0.7456          | 0.9033   |
| 0.0111        | 10.0  | 4330 | 0.9955          | 0.8841   |
| 0.0071        | 11.0  | 4763 | 0.7824          | 0.9006   |
| 0.0102        | 12.0  | 5196 | 0.8189          | 0.9017   |
| 0.0072        | 13.0  | 5629 | 0.8564          | 0.9012   |
| 0.008         | 14.0  | 6062 | 0.8270          | 0.9001   |
| 0.008         | 15.0  | 6495 | 0.8077          | 0.9094   |
| 0.0022        | 16.0  | 6928 | 0.8089          | 0.9066   |
| 0.0037        | 17.0  | 7361 | 0.7955          | 0.9066   |
| 0.0036        | 18.0  | 7794 | 0.8304          | 0.9039   |
| 0.0037        | 19.0  | 8227 | 0.8192          | 0.9039   |
| 0.0008        | 20.0  | 8660 | 0.8469          | 0.9039   |


### 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_padding0model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us