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# bert_sst2_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: 0.8168
- Accuracy: 0.9143

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 433  | 0.2313          | 0.9077   |
| 0.3194        | 2.0   | 866  | 0.3335          | 0.9149   |
| 0.1491        | 3.0   | 1299 | 0.3656          | 0.9127   |
| 0.0757        | 4.0   | 1732 | 0.4625          | 0.9171   |
| 0.0373        | 5.0   | 2165 | 0.8161          | 0.8808   |
| 0.0259        | 6.0   | 2598 | 0.5827          | 0.9193   |
| 0.0112        | 7.0   | 3031 | 0.7514          | 0.9061   |
| 0.0112        | 8.0   | 3464 | 0.6847          | 0.9182   |
| 0.0109        | 9.0   | 3897 | 0.5902          | 0.9176   |
| 0.0143        | 10.0  | 4330 | 0.6670          | 0.9154   |
| 0.0104        | 11.0  | 4763 | 0.6928          | 0.9154   |
| 0.0058        | 12.0  | 5196 | 0.7326          | 0.9149   |
| 0.0059        | 13.0  | 5629 | 0.7084          | 0.9154   |
| 0.0066        | 14.0  | 6062 | 0.6887          | 0.9204   |
| 0.0066        | 15.0  | 6495 | 0.6676          | 0.9226   |
| 0.0073        | 16.0  | 6928 | 0.7323          | 0.9176   |
| 0.0044        | 17.0  | 7361 | 0.7690          | 0.9171   |
| 0.0014        | 18.0  | 7794 | 0.7720          | 0.9187   |
| 0.0001        | 19.0  | 8227 | 0.7994          | 0.9154   |
| 0.0017        | 20.0  | 8660 | 0.8168          | 0.9143   |


### 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": "bert_sst2_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