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# N_bert_sst5_padding30model

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: 4.0345
- Accuracy: 0.5403

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3041        | 1.0   | 534   | 1.1828          | 0.4647   |
| 0.9728        | 2.0   | 1068  | 1.0656          | 0.5439   |
| 0.7353        | 3.0   | 1602  | 1.2170          | 0.5308   |
| 0.55          | 4.0   | 2136  | 1.3968          | 0.5385   |
| 0.3809        | 5.0   | 2670  | 1.7587          | 0.5095   |
| 0.2839        | 6.0   | 3204  | 2.0145          | 0.5258   |
| 0.2109        | 7.0   | 3738  | 2.3047          | 0.5281   |
| 0.1487        | 8.0   | 4272  | 2.5442          | 0.5421   |
| 0.1456        | 9.0   | 4806  | 2.9466          | 0.5317   |
| 0.107         | 10.0  | 5340  | 3.1653          | 0.5281   |
| 0.0964        | 11.0  | 5874  | 3.3776          | 0.5276   |
| 0.0757        | 12.0  | 6408  | 3.4191          | 0.5416   |
| 0.0649        | 13.0  | 6942  | 3.6545          | 0.5308   |
| 0.0568        | 14.0  | 7476  | 3.6844          | 0.5398   |
| 0.026         | 15.0  | 8010  | 3.8540          | 0.5353   |
| 0.0258        | 16.0  | 8544  | 3.8938          | 0.5362   |
| 0.0216        | 17.0  | 9078  | 3.9251          | 0.5303   |
| 0.0122        | 18.0  | 9612  | 3.9695          | 0.5376   |
| 0.0107        | 19.0  | 10146 | 4.0084          | 0.5348   |
| 0.0108        | 20.0  | 10680 | 4.0345          | 0.5403   |


### 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_padding30model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us