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# N_bert_sst5_padding90model

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: 4.0980
- Accuracy: 0.5281

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2963        | 1.0   | 534   | 1.1852          | 0.4683   |
| 0.9784        | 2.0   | 1068  | 1.0766          | 0.5353   |
| 0.752         | 3.0   | 1602  | 1.2790          | 0.5122   |
| 0.5814        | 4.0   | 2136  | 1.3846          | 0.5303   |
| 0.3912        | 5.0   | 2670  | 1.7390          | 0.5190   |
| 0.2841        | 6.0   | 3204  | 1.9218          | 0.5262   |
| 0.2248        | 7.0   | 3738  | 2.2241          | 0.5367   |
| 0.1707        | 8.0   | 4272  | 2.4928          | 0.5213   |
| 0.145         | 9.0   | 4806  | 2.8856          | 0.5244   |
| 0.1225        | 10.0  | 5340  | 3.1488          | 0.5172   |
| 0.0936        | 11.0  | 5874  | 3.2905          | 0.5326   |
| 0.0813        | 12.0  | 6408  | 3.4763          | 0.5231   |
| 0.0595        | 13.0  | 6942  | 3.6704          | 0.5344   |
| 0.0508        | 14.0  | 7476  | 3.8187          | 0.5281   |
| 0.0352        | 15.0  | 8010  | 3.8860          | 0.5303   |
| 0.0226        | 16.0  | 8544  | 4.0547          | 0.5222   |
| 0.0189        | 17.0  | 9078  | 3.9931          | 0.5312   |
| 0.0164        | 18.0  | 9612  | 4.0533          | 0.5330   |
| 0.0133        | 19.0  | 10146 | 4.0536          | 0.5353   |
| 0.0126        | 20.0  | 10680 | 4.0980          | 0.5281   |


### 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_padding90model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us