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# N_bert_sst5_padding10model

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: 4.3591
- Accuracy: 0.5222

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2795        | 1.0   | 534   | 1.2715          | 0.4041   |
| 0.9732        | 2.0   | 1068  | 1.0766          | 0.5362   |
| 0.7556        | 3.0   | 1602  | 1.1870          | 0.5312   |
| 0.5656        | 4.0   | 2136  | 1.4145          | 0.5312   |
| 0.3935        | 5.0   | 2670  | 1.7418          | 0.5213   |
| 0.2852        | 6.0   | 3204  | 2.0376          | 0.5131   |
| 0.2193        | 7.0   | 3738  | 2.2655          | 0.5240   |
| 0.1606        | 8.0   | 4272  | 2.5819          | 0.5299   |
| 0.1355        | 9.0   | 4806  | 3.0238          | 0.5095   |
| 0.1165        | 10.0  | 5340  | 3.1689          | 0.5104   |
| 0.1143        | 11.0  | 5874  | 3.4023          | 0.5208   |
| 0.0756        | 12.0  | 6408  | 3.6903          | 0.5054   |
| 0.058         | 13.0  | 6942  | 3.8438          | 0.5176   |
| 0.0487        | 14.0  | 7476  | 3.8585          | 0.5195   |
| 0.0336        | 15.0  | 8010  | 3.9326          | 0.5195   |
| 0.0208        | 16.0  | 8544  | 4.1253          | 0.5217   |
| 0.0122        | 17.0  | 9078  | 4.2740          | 0.5186   |
| 0.0068        | 18.0  | 9612  | 4.2541          | 0.5226   |
| 0.0107        | 19.0  | 10146 | 4.3208          | 0.5213   |
| 0.0118        | 20.0  | 10680 | 4.3591          | 0.5222   |


### 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": "N_bert_sst5_padding10model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us