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# distilbert_sst5_padding0model

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: 4.1295
- Accuracy: 0.5018

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2692        | 1.0   | 534   | 1.2088          | 0.4462   |
| 1.0128        | 2.0   | 1068  | 1.1091          | 0.5299   |
| 0.8129        | 3.0   | 1602  | 1.1930          | 0.5262   |
| 0.6431        | 4.0   | 2136  | 1.3783          | 0.5213   |
| 0.4776        | 5.0   | 2670  | 1.7332          | 0.4783   |
| 0.3481        | 6.0   | 3204  | 1.7883          | 0.5140   |
| 0.2633        | 7.0   | 3738  | 2.1206          | 0.4955   |
| 0.191         | 8.0   | 4272  | 2.3658          | 0.5054   |
| 0.1627        | 9.0   | 4806  | 2.6203          | 0.5149   |
| 0.1387        | 10.0  | 5340  | 3.0193          | 0.4955   |
| 0.1049        | 11.0  | 5874  | 3.3081          | 0.5014   |
| 0.0888        | 12.0  | 6408  | 3.5941          | 0.4959   |
| 0.0689        | 13.0  | 6942  | 3.6559          | 0.5095   |
| 0.0615        | 14.0  | 7476  | 3.7450          | 0.5090   |
| 0.0426        | 15.0  | 8010  | 3.9371          | 0.5032   |
| 0.0372        | 16.0  | 8544  | 4.0202          | 0.5086   |
| 0.0255        | 17.0  | 9078  | 4.1399          | 0.4982   |
| 0.0221        | 18.0  | 9612  | 4.1091          | 0.5045   |
| 0.0237        | 19.0  | 10146 | 4.1077          | 0.5009   |
| 0.0206        | 20.0  | 10680 | 4.1295          | 0.5018   |


### 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_padding0model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us