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# N_bert_twitterfin_padding20model

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: 1.0103
- Accuracy: 0.8920

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6026        | 1.0   | 597   | 0.3849          | 0.8589   |
| 0.3307        | 2.0   | 1194  | 0.3351          | 0.8832   |
| 0.2306        | 3.0   | 1791  | 0.4305          | 0.8865   |
| 0.1415        | 4.0   | 2388  | 0.5673          | 0.8827   |
| 0.1018        | 5.0   | 2985  | 0.6632          | 0.8794   |
| 0.0396        | 6.0   | 3582  | 0.7322          | 0.8819   |
| 0.0367        | 7.0   | 4179  | 0.7720          | 0.8874   |
| 0.0253        | 8.0   | 4776  | 0.8155          | 0.8836   |
| 0.0281        | 9.0   | 5373  | 0.8304          | 0.8853   |
| 0.0246        | 10.0  | 5970  | 0.8940          | 0.8882   |
| 0.0091        | 11.0  | 6567  | 1.0241          | 0.8823   |
| 0.0102        | 12.0  | 7164  | 0.9821          | 0.8874   |
| 0.0192        | 13.0  | 7761  | 1.0144          | 0.8765   |
| 0.0064        | 14.0  | 8358  | 1.0386          | 0.8861   |
| 0.0033        | 15.0  | 8955  | 0.9737          | 0.8907   |
| 0.0029        | 16.0  | 9552  | 1.0372          | 0.8890   |
| 0.002         | 17.0  | 10149 | 1.0022          | 0.8928   |
| 0.0016        | 18.0  | 10746 | 1.0081          | 0.8894   |
| 0.0017        | 19.0  | 11343 | 1.0171          | 0.8915   |
| 0.0024        | 20.0  | 11940 | 1.0103          | 0.8920   |


### 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": "N_bert_twitterfin_padding20model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us