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# 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: 3.9171
- Accuracy: 0.5054

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3494        | 1.0   | 534   | 1.2564          | 0.4181   |
| 1.0617        | 2.0   | 1068  | 1.1176          | 0.4982   |
| 0.8787        | 3.0   | 1602  | 1.1842          | 0.5149   |
| 0.7134        | 4.0   | 2136  | 1.2718          | 0.5163   |
| 0.5548        | 5.0   | 2670  | 1.4860          | 0.5104   |
| 0.4256        | 6.0   | 3204  | 1.7135          | 0.4986   |
| 0.3318        | 7.0   | 3738  | 1.8871          | 0.4928   |
| 0.2476        | 8.0   | 4272  | 2.0403          | 0.5127   |
| 0.1946        | 9.0   | 4806  | 2.2836          | 0.4982   |
| 0.1737        | 10.0  | 5340  | 2.5511          | 0.5027   |
| 0.1482        | 11.0  | 5874  | 2.8407          | 0.5036   |
| 0.1166        | 12.0  | 6408  | 3.1513          | 0.4959   |
| 0.0901        | 13.0  | 6942  | 3.2833          | 0.5027   |
| 0.0825        | 14.0  | 7476  | 3.4168          | 0.5041   |
| 0.0551        | 15.0  | 8010  | 3.5105          | 0.5032   |
| 0.0492        | 16.0  | 8544  | 3.6475          | 0.5014   |
| 0.0367        | 17.0  | 9078  | 3.7859          | 0.5045   |
| 0.0351        | 18.0  | 9612  | 3.8480          | 0.4977   |
| 0.0316        | 19.0  | 10146 | 3.9006          | 0.5023   |
| 0.0264        | 20.0  | 10680 | 3.9171          | 0.5054   |


### 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_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