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# N_distilbert_sst5_padding60model

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: 3.8121
- Accuracy: 0.5077

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.4634        | 1.0   | 534   | 1.2850          | 0.4163   |
| 1.1378        | 2.0   | 1068  | 1.1331          | 0.4941   |
| 0.9377        | 3.0   | 1602  | 1.2002          | 0.4900   |
| 0.7621        | 4.0   | 2136  | 1.2642          | 0.5113   |
| 0.6022        | 5.0   | 2670  | 1.4911          | 0.4869   |
| 0.4592        | 6.0   | 3204  | 1.6732          | 0.4810   |
| 0.3597        | 7.0   | 3738  | 1.8616          | 0.4869   |
| 0.2659        | 8.0   | 4272  | 2.0609          | 0.4846   |
| 0.2268        | 9.0   | 4806  | 2.3938          | 0.4774   |
| 0.1879        | 10.0  | 5340  | 2.4559          | 0.4846   |
| 0.1601        | 11.0  | 5874  | 2.9729          | 0.4851   |
| 0.1232        | 12.0  | 6408  | 3.0635          | 0.4891   |
| 0.1247        | 13.0  | 6942  | 3.3278          | 0.5009   |
| 0.0986        | 14.0  | 7476  | 3.4084          | 0.4955   |
| 0.065         | 15.0  | 8010  | 3.5277          | 0.4919   |
| 0.0544        | 16.0  | 8544  | 3.5801          | 0.4910   |
| 0.0506        | 17.0  | 9078  | 3.7815          | 0.4910   |
| 0.036         | 18.0  | 9612  | 3.8462          | 0.4941   |
| 0.0333        | 19.0  | 10146 | 3.7974          | 0.5009   |
| 0.0343        | 20.0  | 10680 | 3.8121          | 0.5077   |


### 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": "N_distilbert_sst5_padding60model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us