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# N_distilbert_sst5_padding80model

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: 3.8771
- Accuracy: 0.5041

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3362        | 1.0   | 534   | 1.2555          | 0.4326   |
| 1.0552        | 2.0   | 1068  | 1.1173          | 0.5045   |
| 0.8719        | 3.0   | 1602  | 1.1703          | 0.5154   |
| 0.7096        | 4.0   | 2136  | 1.2926          | 0.5104   |
| 0.5637        | 5.0   | 2670  | 1.5040          | 0.5036   |
| 0.425         | 6.0   | 3204  | 1.6993          | 0.4932   |
| 0.3294        | 7.0   | 3738  | 1.9342          | 0.5109   |
| 0.2374        | 8.0   | 4272  | 2.0846          | 0.5050   |
| 0.2032        | 9.0   | 4806  | 2.3320          | 0.4964   |
| 0.1772        | 10.0  | 5340  | 2.6345          | 0.4900   |
| 0.1419        | 11.0  | 5874  | 2.8924          | 0.4914   |
| 0.1251        | 12.0  | 6408  | 3.1132          | 0.4950   |
| 0.098         | 13.0  | 6942  | 3.2396          | 0.5050   |
| 0.0869        | 14.0  | 7476  | 3.3763          | 0.5023   |
| 0.0613        | 15.0  | 8010  | 3.5375          | 0.4977   |
| 0.0477        | 16.0  | 8544  | 3.6446          | 0.5014   |
| 0.0347        | 17.0  | 9078  | 3.7261          | 0.4959   |
| 0.0361        | 18.0  | 9612  | 3.7923          | 0.4982   |
| 0.0258        | 19.0  | 10146 | 3.8617          | 0.5027   |
| 0.0212        | 20.0  | 10680 | 3.8771          | 0.5041   |


### 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_padding80model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us