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# N_bert_sst5_padding100model

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: 4.0441
- Accuracy: 0.5249

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3098        | 1.0   | 534   | 1.3057          | 0.4339   |
| 0.9919        | 2.0   | 1068  | 1.0863          | 0.5326   |
| 0.7654        | 3.0   | 1602  | 1.1988          | 0.5231   |
| 0.593         | 4.0   | 2136  | 1.3832          | 0.5244   |
| 0.4256        | 5.0   | 2670  | 1.6810          | 0.5154   |
| 0.313         | 6.0   | 3204  | 1.9396          | 0.5154   |
| 0.2169        | 7.0   | 3738  | 2.2859          | 0.5140   |
| 0.1745        | 8.0   | 4272  | 2.6011          | 0.5163   |
| 0.1521        | 9.0   | 4806  | 2.7484          | 0.5181   |
| 0.1278        | 10.0  | 5340  | 3.0932          | 0.5281   |
| 0.0993        | 11.0  | 5874  | 3.2683          | 0.5181   |
| 0.097         | 12.0  | 6408  | 3.4021          | 0.5217   |
| 0.0629        | 13.0  | 6942  | 3.7096          | 0.5258   |
| 0.0437        | 14.0  | 7476  | 3.7275          | 0.5235   |
| 0.0298        | 15.0  | 8010  | 3.7627          | 0.5290   |
| 0.0257        | 16.0  | 8544  | 3.8717          | 0.5276   |
| 0.0175        | 17.0  | 9078  | 3.9446          | 0.5213   |
| 0.0174        | 18.0  | 9612  | 3.9703          | 0.5226   |
| 0.0101        | 19.0  | 10146 | 4.0437          | 0.5222   |
| 0.007         | 20.0  | 10680 | 4.0441          | 0.5249   |


### 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_padding100model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us