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# N_bert_sst5_padding20model

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: 4.1743
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2626        | 1.0   | 534   | 1.1763          | 0.4769   |
| 0.969         | 2.0   | 1068  | 1.0746          | 0.5443   |
| 0.738         | 3.0   | 1602  | 1.2337          | 0.5276   |
| 0.5598        | 4.0   | 2136  | 1.4162          | 0.5312   |
| 0.3752        | 5.0   | 2670  | 1.7536          | 0.5176   |
| 0.2718        | 6.0   | 3204  | 1.9742          | 0.5285   |
| 0.2039        | 7.0   | 3738  | 2.2782          | 0.5299   |
| 0.153         | 8.0   | 4272  | 2.5862          | 0.5330   |
| 0.1248        | 9.0   | 4806  | 2.7811          | 0.5371   |
| 0.1044        | 10.0  | 5340  | 3.1522          | 0.5231   |
| 0.0912        | 11.0  | 5874  | 3.3783          | 0.5145   |
| 0.0733        | 12.0  | 6408  | 3.5910          | 0.5281   |
| 0.0447        | 13.0  | 6942  | 3.6989          | 0.5240   |
| 0.0345        | 14.0  | 7476  | 3.8076          | 0.5267   |
| 0.0321        | 15.0  | 8010  | 3.9878          | 0.5154   |
| 0.0205        | 16.0  | 8544  | 4.0187          | 0.5208   |
| 0.0123        | 17.0  | 9078  | 4.0994          | 0.5208   |
| 0.0127        | 18.0  | 9612  | 4.1125          | 0.5321   |
| 0.0092        | 19.0  | 10146 | 4.1869          | 0.5217   |
| 0.0094        | 20.0  | 10680 | 4.1743          | 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_padding20model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us