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# N_bert_twitterfin_padding40model

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: 0.9437
- Accuracy: 0.8915

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6129        | 1.0   | 597   | 0.3541          | 0.8719   |
| 0.3267        | 2.0   | 1194  | 0.3151          | 0.8882   |
| 0.2206        | 3.0   | 1791  | 0.3821          | 0.8874   |
| 0.1488        | 4.0   | 2388  | 0.5206          | 0.8827   |
| 0.0968        | 5.0   | 2985  | 0.5811          | 0.8936   |
| 0.0418        | 6.0   | 3582  | 0.7151          | 0.8827   |
| 0.0347        | 7.0   | 4179  | 0.7350          | 0.8874   |
| 0.0216        | 8.0   | 4776  | 0.7844          | 0.8861   |
| 0.03          | 9.0   | 5373  | 0.7782          | 0.8823   |
| 0.0232        | 10.0  | 5970  | 0.7842          | 0.8894   |
| 0.0167        | 11.0  | 6567  | 0.7931          | 0.8920   |
| 0.0106        | 12.0  | 7164  | 0.8861          | 0.8899   |
| 0.0138        | 13.0  | 7761  | 0.8340          | 0.8915   |
| 0.0095        | 14.0  | 8358  | 0.9040          | 0.8832   |
| 0.0061        | 15.0  | 8955  | 0.8930          | 0.8861   |
| 0.0041        | 16.0  | 9552  | 0.9084          | 0.8894   |
| 0.0031        | 17.0  | 10149 | 0.9436          | 0.8869   |
| 0.0027        | 18.0  | 10746 | 0.9364          | 0.8924   |
| 0.0014        | 19.0  | 11343 | 0.9439          | 0.8907   |
| 0.0023        | 20.0  | 11940 | 0.9437          | 0.8915   |


### 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_padding40model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us