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# distilbert_sst5_padding70model

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: 3.9464
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.342         | 1.0   | 534   | 1.3172          | 0.3914   |
| 1.0595        | 2.0   | 1068  | 1.1123          | 0.5140   |
| 0.8701        | 3.0   | 1602  | 1.1455          | 0.5281   |
| 0.71          | 4.0   | 2136  | 1.3218          | 0.5163   |
| 0.5487        | 5.0   | 2670  | 1.5399          | 0.5027   |
| 0.4201        | 6.0   | 3204  | 1.7212          | 0.5005   |
| 0.3293        | 7.0   | 3738  | 1.8778          | 0.5113   |
| 0.2412        | 8.0   | 4272  | 2.0483          | 0.5158   |
| 0.207         | 9.0   | 4806  | 2.2857          | 0.5113   |
| 0.1778        | 10.0  | 5340  | 2.5679          | 0.5113   |
| 0.1325        | 11.0  | 5874  | 2.8006          | 0.5077   |
| 0.1154        | 12.0  | 6408  | 3.1458          | 0.4991   |
| 0.0927        | 13.0  | 6942  | 3.2323          | 0.5109   |
| 0.0801        | 14.0  | 7476  | 3.5445          | 0.4937   |
| 0.0542        | 15.0  | 8010  | 3.6395          | 0.5100   |
| 0.0515        | 16.0  | 8544  | 3.7555          | 0.5050   |
| 0.0369        | 17.0  | 9078  | 3.8901          | 0.5059   |
| 0.0381        | 18.0  | 9612  | 3.9145          | 0.5059   |
| 0.0265        | 19.0  | 10146 | 3.9511          | 0.5081   |
| 0.0244        | 20.0  | 10680 | 3.9464          | 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_padding70model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us