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# bert_twitterfin_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: 1.0811
- Accuracy: 0.8857

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5721        | 1.0   | 597   | 0.3568          | 0.8735   |
| 0.3173        | 2.0   | 1194  | 0.3192          | 0.8848   |
| 0.2143        | 3.0   | 1791  | 0.4767          | 0.8760   |
| 0.1357        | 4.0   | 2388  | 0.6198          | 0.8832   |
| 0.1059        | 5.0   | 2985  | 0.6062          | 0.8811   |
| 0.05          | 6.0   | 3582  | 0.7149          | 0.8819   |
| 0.0381        | 7.0   | 4179  | 0.8061          | 0.8848   |
| 0.0309        | 8.0   | 4776  | 0.7961          | 0.8815   |
| 0.0315        | 9.0   | 5373  | 0.8086          | 0.8802   |
| 0.0214        | 10.0  | 5970  | 0.8231          | 0.8924   |
| 0.0178        | 11.0  | 6567  | 0.8589          | 0.8861   |
| 0.0127        | 12.0  | 7164  | 0.9441          | 0.8853   |
| 0.0129        | 13.0  | 7761  | 0.9523          | 0.8899   |
| 0.0102        | 14.0  | 8358  | 1.0047          | 0.8848   |
| 0.009         | 15.0  | 8955  | 1.0004          | 0.8882   |
| 0.0047        | 16.0  | 9552  | 1.0421          | 0.8848   |
| 0.0049        | 17.0  | 10149 | 1.0416          | 0.8865   |
| 0.0035        | 18.0  | 10746 | 1.0695          | 0.8869   |
| 0.0021        | 19.0  | 11343 | 1.0858          | 0.8844   |
| 0.003         | 20.0  | 11940 | 1.0811          | 0.8857   |


### 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_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