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# bert_sst5_padding90model

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: 1.5800
- Accuracy: 0.2308

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.5829        | 1.0   | 534   | 1.6030          | 0.2308   |
| 1.5786        | 2.0   | 1068  | 1.5804          | 0.2864   |
| 1.5765        | 3.0   | 1602  | 1.5857          | 0.2864   |
| 1.5724        | 4.0   | 2136  | 1.5784          | 0.2308   |
| 1.5776        | 5.0   | 2670  | 1.5789          | 0.2864   |
| 1.576         | 6.0   | 3204  | 1.5841          | 0.2308   |
| 1.5734        | 7.0   | 3738  | 1.5764          | 0.2864   |
| 1.5718        | 8.0   | 4272  | 1.5796          | 0.2308   |
| 1.5708        | 9.0   | 4806  | 1.5800          | 0.2308   |
| 1.5672        | 10.0  | 5340  | 1.5829          | 0.2308   |
| 1.5727        | 11.0  | 5874  | 1.5781          | 0.2308   |
| 1.5711        | 12.0  | 6408  | 1.5797          | 0.2308   |
| 1.5694        | 13.0  | 6942  | 1.5812          | 0.2308   |
| 1.5712        | 14.0  | 7476  | 1.5796          | 0.2308   |
| 1.5699        | 15.0  | 8010  | 1.5840          | 0.2308   |
| 1.5685        | 16.0  | 8544  | 1.5804          | 0.2308   |
| 1.569         | 17.0  | 9078  | 1.5811          | 0.2308   |
| 1.5706        | 18.0  | 9612  | 1.5797          | 0.2308   |
| 1.5688        | 19.0  | 10146 | 1.5808          | 0.2308   |
| 1.5693        | 20.0  | 10680 | 1.5800          | 0.2308   |


### 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_padding90model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us