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# N_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: 4.0129
- Accuracy: 0.5389

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2995        | 1.0   | 534   | 1.1820          | 0.4692   |
| 0.9814        | 2.0   | 1068  | 1.1038          | 0.5240   |
| 0.7486        | 3.0   | 1602  | 1.1987          | 0.5321   |
| 0.5732        | 4.0   | 2136  | 1.3964          | 0.5357   |
| 0.3911        | 5.0   | 2670  | 1.6999          | 0.5226   |
| 0.2831        | 6.0   | 3204  | 1.8422          | 0.5244   |
| 0.2211        | 7.0   | 3738  | 2.2539          | 0.5190   |
| 0.1507        | 8.0   | 4272  | 2.6059          | 0.5312   |
| 0.1338        | 9.0   | 4806  | 2.7846          | 0.5362   |
| 0.1188        | 10.0  | 5340  | 2.9520          | 0.5376   |
| 0.0987        | 11.0  | 5874  | 3.2402          | 0.5317   |
| 0.0716        | 12.0  | 6408  | 3.4065          | 0.5290   |
| 0.055         | 13.0  | 6942  | 3.6739          | 0.5285   |
| 0.0537        | 14.0  | 7476  | 3.5648          | 0.5403   |
| 0.0307        | 15.0  | 8010  | 3.7474          | 0.5357   |
| 0.0226        | 16.0  | 8544  | 3.8500          | 0.5412   |
| 0.0175        | 17.0  | 9078  | 3.9211          | 0.5371   |
| 0.0154        | 18.0  | 9612  | 3.9402          | 0.5348   |
| 0.0138        | 19.0  | 10146 | 4.0021          | 0.5380   |
| 0.007         | 20.0  | 10680 | 4.0129          | 0.5389   |


### 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_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