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# bert_sst5_padding60model

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: 4.0761
- Accuracy: 0.5276

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.4317        | 1.0   | 534   | 1.3598          | 0.4009   |
| 1.0579        | 2.0   | 1068  | 1.0778          | 0.5376   |
| 0.8255        | 3.0   | 1602  | 1.1321          | 0.5480   |
| 0.6407        | 4.0   | 2136  | 1.2839          | 0.5339   |
| 0.4487        | 5.0   | 2670  | 1.6216          | 0.5027   |
| 0.3316        | 6.0   | 3204  | 1.8433          | 0.5240   |
| 0.2432        | 7.0   | 3738  | 2.2189          | 0.5271   |
| 0.1816        | 8.0   | 4272  | 2.4454          | 0.5249   |
| 0.1485        | 9.0   | 4806  | 2.6673          | 0.5249   |
| 0.1304        | 10.0  | 5340  | 3.1345          | 0.5136   |
| 0.1048        | 11.0  | 5874  | 3.3383          | 0.5240   |
| 0.0778        | 12.0  | 6408  | 3.4594          | 0.5271   |
| 0.0593        | 13.0  | 6942  | 3.7650          | 0.5235   |
| 0.048         | 14.0  | 7476  | 3.7509          | 0.5222   |
| 0.0311        | 15.0  | 8010  | 3.8533          | 0.5281   |
| 0.0265        | 16.0  | 8544  | 3.9777          | 0.5244   |
| 0.0258        | 17.0  | 9078  | 4.0436          | 0.5281   |
| 0.0171        | 18.0  | 9612  | 4.0182          | 0.5290   |
| 0.0136        | 19.0  | 10146 | 4.0354          | 0.5308   |
| 0.0081        | 20.0  | 10680 | 4.0761          | 0.5276   |


### 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_padding60model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us