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# bert_sst5_padding70model

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3219
- Accuracy: 0.5195

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.455         | 1.0   | 534   | 1.3095          | 0.4014   |
| 1.0688        | 2.0   | 1068  | 1.0861          | 0.5231   |
| 0.8152        | 3.0   | 1602  | 1.1682          | 0.5317   |
| 0.6373        | 4.0   | 2136  | 1.3330          | 0.5330   |
| 0.4456        | 5.0   | 2670  | 1.6174          | 0.5167   |
| 0.3164        | 6.0   | 3204  | 1.8698          | 0.5190   |
| 0.2454        | 7.0   | 3738  | 2.1769          | 0.5167   |
| 0.1684        | 8.0   | 4272  | 2.6182          | 0.5281   |
| 0.1367        | 9.0   | 4806  | 2.9459          | 0.5068   |
| 0.1176        | 10.0  | 5340  | 3.2425          | 0.5104   |
| 0.1056        | 11.0  | 5874  | 3.3523          | 0.5262   |
| 0.0844        | 12.0  | 6408  | 3.5235          | 0.5258   |
| 0.0538        | 13.0  | 6942  | 3.7476          | 0.5181   |
| 0.0614        | 14.0  | 7476  | 3.8546          | 0.5131   |
| 0.0369        | 15.0  | 8010  | 3.9777          | 0.5217   |
| 0.0229        | 16.0  | 8544  | 4.1242          | 0.5176   |
| 0.0183        | 17.0  | 9078  | 4.1762          | 0.5181   |
| 0.014         | 18.0  | 9612  | 4.2317          | 0.5222   |
| 0.012         | 19.0  | 10146 | 4.2420          | 0.5235   |
| 0.0143        | 20.0  | 10680 | 4.3219          | 0.5195   |


### 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": "bert-base-uncased", "model-index": [{"name": "bert_sst5_padding70model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us