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# N_distilbert_sst5_padding100model

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: 3.9540
- Accuracy: 0.5005

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3194        | 1.0   | 534   | 1.2413          | 0.4344   |
| 1.0513        | 2.0   | 1068  | 1.1205          | 0.5140   |
| 0.8615        | 3.0   | 1602  | 1.1640          | 0.5253   |
| 0.7188        | 4.0   | 2136  | 1.2677          | 0.5231   |
| 0.5521        | 5.0   | 2670  | 1.4889          | 0.5118   |
| 0.4403        | 6.0   | 3204  | 1.6709          | 0.5014   |
| 0.3216        | 7.0   | 3738  | 1.8837          | 0.4937   |
| 0.2428        | 8.0   | 4272  | 2.1077          | 0.5113   |
| 0.1885        | 9.0   | 4806  | 2.3603          | 0.5      |
| 0.1619        | 10.0  | 5340  | 2.5975          | 0.5050   |
| 0.1224        | 11.0  | 5874  | 2.8436          | 0.5027   |
| 0.0929        | 12.0  | 6408  | 3.0633          | 0.5158   |
| 0.0932        | 13.0  | 6942  | 3.2386          | 0.5131   |
| 0.069         | 14.0  | 7476  | 3.5948          | 0.4982   |
| 0.0506        | 15.0  | 8010  | 3.6567          | 0.5109   |
| 0.042         | 16.0  | 8544  | 3.7077          | 0.5041   |
| 0.029         | 17.0  | 9078  | 3.8837          | 0.4950   |
| 0.0252        | 18.0  | 9612  | 3.8735          | 0.5063   |
| 0.0208        | 19.0  | 10146 | 3.9888          | 0.5050   |
| 0.0216        | 20.0  | 10680 | 3.9540          | 0.5005   |


### 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_padding100model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us