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# distilbert_sst5_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: 4.0295
- Accuracy: 0.5081

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3053        | 1.0   | 534   | 1.2846          | 0.4262   |
| 1.04          | 2.0   | 1068  | 1.1241          | 0.5281   |
| 0.8475        | 3.0   | 1602  | 1.1618          | 0.5199   |
| 0.6826        | 4.0   | 2136  | 1.3165          | 0.5204   |
| 0.5346        | 5.0   | 2670  | 1.6460          | 0.4959   |
| 0.4044        | 6.0   | 3204  | 1.7466          | 0.5032   |
| 0.3145        | 7.0   | 3738  | 1.9172          | 0.5014   |
| 0.2246        | 8.0   | 4272  | 2.1789          | 0.5014   |
| 0.1915        | 9.0   | 4806  | 2.4467          | 0.5      |
| 0.1632        | 10.0  | 5340  | 2.7215          | 0.4928   |
| 0.1238        | 11.0  | 5874  | 3.0191          | 0.4964   |
| 0.1245        | 12.0  | 6408  | 3.2605          | 0.5068   |
| 0.0853        | 13.0  | 6942  | 3.5142          | 0.5050   |
| 0.0763        | 14.0  | 7476  | 3.5273          | 0.5036   |
| 0.0448        | 15.0  | 8010  | 3.7739          | 0.5100   |
| 0.0527        | 16.0  | 8544  | 3.8209          | 0.5081   |
| 0.0372        | 17.0  | 9078  | 3.9001          | 0.5081   |
| 0.028         | 18.0  | 9612  | 3.8935          | 0.5063   |
| 0.0262        | 19.0  | 10146 | 3.9926          | 0.5095   |
| 0.0285        | 20.0  | 10680 | 4.0295          | 0.5081   |


### 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_sst5_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