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# bert_twitterfin_padding70model

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: 0.9800
- Accuracy: 0.8924

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5939        | 1.0   | 597   | 0.3547          | 0.8710   |
| 0.3248        | 2.0   | 1194  | 0.3195          | 0.8853   |
| 0.2216        | 3.0   | 1791  | 0.3955          | 0.8819   |
| 0.1383        | 4.0   | 2388  | 0.5634          | 0.8903   |
| 0.1061        | 5.0   | 2985  | 0.6779          | 0.8698   |
| 0.0479        | 6.0   | 3582  | 0.6729          | 0.8823   |
| 0.0397        | 7.0   | 4179  | 0.8306          | 0.8819   |
| 0.0255        | 8.0   | 4776  | 0.8183          | 0.8844   |
| 0.0265        | 9.0   | 5373  | 0.8139          | 0.8894   |
| 0.0207        | 10.0  | 5970  | 0.8833          | 0.8848   |
| 0.0134        | 11.0  | 6567  | 0.8934          | 0.8890   |
| 0.0132        | 12.0  | 7164  | 0.8850          | 0.8920   |
| 0.014         | 13.0  | 7761  | 0.9044          | 0.8861   |
| 0.0074        | 14.0  | 8358  | 0.9561          | 0.8907   |
| 0.0071        | 15.0  | 8955  | 0.9273          | 0.8911   |
| 0.0071        | 16.0  | 9552  | 0.9472          | 0.8920   |
| 0.0035        | 17.0  | 10149 | 0.9424          | 0.8941   |
| 0.0036        | 18.0  | 10746 | 0.9539          | 0.8941   |
| 0.0049        | 19.0  | 11343 | 0.9745          | 0.8936   |
| 0.0007        | 20.0  | 11940 | 0.9800          | 0.8924   |


### 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_padding70model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us