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# 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: 3.6964
- Accuracy: 0.4878

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.5744        | 1.0   | 534   | 1.6004          | 0.2308   |
| 1.4231        | 2.0   | 1068  | 1.2088          | 0.4729   |
| 1.1237        | 3.0   | 1602  | 1.1682          | 0.5      |
| 0.9507        | 4.0   | 2136  | 1.2027          | 0.5054   |
| 0.7604        | 5.0   | 2670  | 1.3283          | 0.4995   |
| 0.6266        | 6.0   | 3204  | 1.4933          | 0.4959   |
| 0.488         | 7.0   | 3738  | 1.6948          | 0.4851   |
| 0.3806        | 8.0   | 4272  | 1.8964          | 0.4896   |
| 0.3127        | 9.0   | 4806  | 1.9536          | 0.5014   |
| 0.2609        | 10.0  | 5340  | 2.1723          | 0.4919   |
| 0.2133        | 11.0  | 5874  | 2.4683          | 0.4864   |
| 0.1876        | 12.0  | 6408  | 2.6453          | 0.4941   |
| 0.1634        | 13.0  | 6942  | 2.9011          | 0.4891   |
| 0.1386        | 14.0  | 7476  | 3.0697          | 0.4941   |
| 0.1026        | 15.0  | 8010  | 3.3209          | 0.4900   |
| 0.0909        | 16.0  | 8544  | 3.5261          | 0.4914   |
| 0.0728        | 17.0  | 9078  | 3.5774          | 0.4873   |
| 0.0756        | 18.0  | 9612  | 3.6430          | 0.4891   |
| 0.059         | 19.0  | 10146 | 3.6841          | 0.4873   |
| 0.0476        | 20.0  | 10680 | 3.6964          | 0.4878   |


### 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_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