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# bert_twitterfin_padding80model

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: 1.0344
- Accuracy: 0.8840

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6173        | 1.0   | 597   | 0.3644          | 0.8723   |
| 0.3317        | 2.0   | 1194  | 0.3204          | 0.8815   |
| 0.235         | 3.0   | 1791  | 0.4381          | 0.8882   |
| 0.1385        | 4.0   | 2388  | 0.5672          | 0.8777   |
| 0.108         | 5.0   | 2985  | 0.6875          | 0.8748   |
| 0.0466        | 6.0   | 3582  | 0.7728          | 0.8823   |
| 0.0414        | 7.0   | 4179  | 0.7724          | 0.8869   |
| 0.0306        | 8.0   | 4776  | 0.7541          | 0.8840   |
| 0.0336        | 9.0   | 5373  | 0.7872          | 0.8907   |
| 0.0221        | 10.0  | 5970  | 0.8676          | 0.8832   |
| 0.0195        | 11.0  | 6567  | 0.9031          | 0.8811   |
| 0.01          | 12.0  | 7164  | 0.8561          | 0.8823   |
| 0.0148        | 13.0  | 7761  | 0.9173          | 0.8890   |
| 0.0093        | 14.0  | 8358  | 0.9178          | 0.8874   |
| 0.0052        | 15.0  | 8955  | 0.9563          | 0.8865   |
| 0.0046        | 16.0  | 9552  | 0.9723          | 0.8857   |
| 0.0051        | 17.0  | 10149 | 0.9839          | 0.8882   |
| 0.0029        | 18.0  | 10746 | 1.0261          | 0.8844   |
| 0.0041        | 19.0  | 11343 | 1.0228          | 0.8869   |
| 0.0023        | 20.0  | 11940 | 1.0344          | 0.8840   |


### 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_padding80model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us