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# bert_twitterfin_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: 1.0129
- Accuracy: 0.8861

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6595        | 1.0   | 597   | 0.3889          | 0.8610   |
| 0.3378        | 2.0   | 1194  | 0.3376          | 0.8740   |
| 0.2355        | 3.0   | 1791  | 0.4061          | 0.8844   |
| 0.1452        | 4.0   | 2388  | 0.6084          | 0.8656   |
| 0.1028        | 5.0   | 2985  | 0.6311          | 0.8773   |
| 0.0403        | 6.0   | 3582  | 0.6991          | 0.8840   |
| 0.0396        | 7.0   | 4179  | 0.8008          | 0.8827   |
| 0.0258        | 8.0   | 4776  | 0.7997          | 0.8819   |
| 0.0229        | 9.0   | 5373  | 0.9039          | 0.8731   |
| 0.0172        | 10.0  | 5970  | 0.8777          | 0.8857   |
| 0.0128        | 11.0  | 6567  | 0.8792          | 0.8836   |
| 0.0111        | 12.0  | 7164  | 0.9188          | 0.8827   |
| 0.0097        | 13.0  | 7761  | 0.9763          | 0.8823   |
| 0.0096        | 14.0  | 8358  | 0.9605          | 0.8823   |
| 0.0049        | 15.0  | 8955  | 0.9565          | 0.8840   |
| 0.0058        | 16.0  | 9552  | 0.9900          | 0.8802   |
| 0.0032        | 17.0  | 10149 | 0.9681          | 0.8882   |
| 0.0004        | 18.0  | 10746 | 0.9960          | 0.8894   |
| 0.0021        | 19.0  | 11343 | 1.0260          | 0.8840   |
| 0.0023        | 20.0  | 11940 | 1.0129          | 0.8861   |


### 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_twitterfin_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