
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# N_bert_twitterfin_padding90model

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: 1.0260
- Accuracy: 0.8890

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.635         | 1.0   | 597   | 0.4070          | 0.8539   |
| 0.3588        | 2.0   | 1194  | 0.3219          | 0.8907   |
| 0.2478        | 3.0   | 1791  | 0.4226          | 0.8865   |
| 0.1539        | 4.0   | 2388  | 0.5291          | 0.8811   |
| 0.1226        | 5.0   | 2985  | 0.6593          | 0.8639   |
| 0.0441        | 6.0   | 3582  | 0.6809          | 0.8861   |
| 0.0364        | 7.0   | 4179  | 0.7800          | 0.8882   |
| 0.0343        | 8.0   | 4776  | 0.7629          | 0.8840   |
| 0.0255        | 9.0   | 5373  | 0.7855          | 0.8811   |
| 0.0191        | 10.0  | 5970  | 0.8804          | 0.8790   |
| 0.0101        | 11.0  | 6567  | 0.8909          | 0.8865   |
| 0.0083        | 12.0  | 7164  | 0.8889          | 0.8853   |
| 0.0108        | 13.0  | 7761  | 0.8784          | 0.8936   |
| 0.0122        | 14.0  | 8358  | 0.9470          | 0.8907   |
| 0.0071        | 15.0  | 8955  | 0.9631          | 0.8865   |
| 0.0044        | 16.0  | 9552  | 1.0000          | 0.8915   |
| 0.0039        | 17.0  | 10149 | 1.0128          | 0.8911   |
| 0.002         | 18.0  | 10746 | 1.0107          | 0.8903   |
| 0.0032        | 19.0  | 11343 | 1.0090          | 0.8911   |
| 0.0022        | 20.0  | 11940 | 1.0260          | 0.8890   |


### 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_padding90model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us