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# N_distilbert_sst5_padding40model

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: 4.2427
- Accuracy: 0.4919

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3042        | 1.0   | 534   | 1.2788          | 0.4154   |
| 1.0406        | 2.0   | 1068  | 1.1166          | 0.5127   |
| 0.8517        | 3.0   | 1602  | 1.2093          | 0.5167   |
| 0.6903        | 4.0   | 2136  | 1.2954          | 0.5100   |
| 0.5381        | 5.0   | 2670  | 1.5639          | 0.4959   |
| 0.4124        | 6.0   | 3204  | 1.7632          | 0.4873   |
| 0.3138        | 7.0   | 3738  | 1.9780          | 0.4891   |
| 0.225         | 8.0   | 4272  | 2.2458          | 0.4860   |
| 0.1917        | 9.0   | 4806  | 2.4285          | 0.4950   |
| 0.1531        | 10.0  | 5340  | 2.7969          | 0.4828   |
| 0.1247        | 11.0  | 5874  | 3.1633          | 0.4891   |
| 0.0965        | 12.0  | 6408  | 3.3317          | 0.5023   |
| 0.0818        | 13.0  | 6942  | 3.6110          | 0.4973   |
| 0.0746        | 14.0  | 7476  | 3.7011          | 0.4932   |
| 0.044         | 15.0  | 8010  | 3.8336          | 0.4941   |
| 0.036         | 16.0  | 8544  | 4.0305          | 0.4941   |
| 0.0357        | 17.0  | 9078  | 4.1497          | 0.4928   |
| 0.0283        | 18.0  | 9612  | 4.1689          | 0.4982   |
| 0.0214        | 19.0  | 10146 | 4.1801          | 0.4959   |
| 0.0191        | 20.0  | 10680 | 4.2427          | 0.4919   |


### 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_padding40model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us