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# bert_sst5_padding30model

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: 4.1363
- Accuracy: 0.5217

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3309        | 1.0   | 534   | 1.1877          | 0.4566   |
| 1.0031        | 2.0   | 1068  | 1.0797          | 0.5439   |
| 0.7657        | 3.0   | 1602  | 1.1662          | 0.5398   |
| 0.5876        | 4.0   | 2136  | 1.3887          | 0.5299   |
| 0.4158        | 5.0   | 2670  | 1.6423          | 0.5199   |
| 0.3096        | 6.0   | 3204  | 1.9704          | 0.5113   |
| 0.2247        | 7.0   | 3738  | 2.3219          | 0.5154   |
| 0.1668        | 8.0   | 4272  | 2.4251          | 0.5308   |
| 0.1559        | 9.0   | 4806  | 2.8634          | 0.5204   |
| 0.1096        | 10.0  | 5340  | 3.1091          | 0.5167   |
| 0.1087        | 11.0  | 5874  | 3.3826          | 0.5118   |
| 0.0866        | 12.0  | 6408  | 3.4875          | 0.5276   |
| 0.0674        | 13.0  | 6942  | 3.8364          | 0.5077   |
| 0.0556        | 14.0  | 7476  | 3.8687          | 0.5145   |
| 0.0403        | 15.0  | 8010  | 3.9204          | 0.5118   |
| 0.0228        | 16.0  | 8544  | 4.0594          | 0.5122   |
| 0.0229        | 17.0  | 9078  | 4.0215          | 0.5235   |
| 0.0155        | 18.0  | 9612  | 4.0793          | 0.5231   |
| 0.0088        | 19.0  | 10146 | 4.1288          | 0.5208   |
| 0.0127        | 20.0  | 10680 | 4.1363          | 0.5217   |


### 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_padding30model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us