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# bert_sst5_padding50model

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: 4.1434
- Accuracy: 0.5357

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2989        | 1.0   | 534   | 1.2481          | 0.4520   |
| 0.9866        | 2.0   | 1068  | 1.0774          | 0.5416   |
| 0.7639        | 3.0   | 1602  | 1.1460          | 0.5294   |
| 0.5824        | 4.0   | 2136  | 1.4723          | 0.5136   |
| 0.4104        | 5.0   | 2670  | 1.6064          | 0.5294   |
| 0.3146        | 6.0   | 3204  | 1.8671          | 0.5231   |
| 0.2298        | 7.0   | 3738  | 2.1795          | 0.5181   |
| 0.1771        | 8.0   | 4272  | 2.3543          | 0.5321   |
| 0.1429        | 9.0   | 4806  | 2.7375          | 0.5222   |
| 0.1153        | 10.0  | 5340  | 3.1331          | 0.5339   |
| 0.0981        | 11.0  | 5874  | 3.2020          | 0.5403   |
| 0.0764        | 12.0  | 6408  | 3.3910          | 0.5362   |
| 0.0637        | 13.0  | 6942  | 3.6035          | 0.5312   |
| 0.0418        | 14.0  | 7476  | 3.6734          | 0.5226   |
| 0.0352        | 15.0  | 8010  | 3.8465          | 0.5271   |
| 0.0267        | 16.0  | 8544  | 4.0115          | 0.5240   |
| 0.0166        | 17.0  | 9078  | 3.9827          | 0.5290   |
| 0.0125        | 18.0  | 9612  | 4.0704          | 0.5335   |
| 0.0078        | 19.0  | 10146 | 4.1352          | 0.5290   |
| 0.0062        | 20.0  | 10680 | 4.1434          | 0.5357   |


### 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_padding50model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us