
<!-- 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_distilbert_twitterfin_padding100model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1124
- Accuracy: 0.8760

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6499        | 1.0   | 597   | 0.4008          | 0.8484   |
| 0.3558        | 2.0   | 1194  | 0.3977          | 0.8626   |
| 0.2591        | 3.0   | 1791  | 0.4112          | 0.8685   |
| 0.1811        | 4.0   | 2388  | 0.5229          | 0.8744   |
| 0.1298        | 5.0   | 2985  | 0.6057          | 0.8689   |
| 0.064         | 6.0   | 3582  | 0.6571          | 0.8685   |
| 0.0538        | 7.0   | 4179  | 0.7742          | 0.8681   |
| 0.0409        | 8.0   | 4776  | 0.8281          | 0.8706   |
| 0.0365        | 9.0   | 5373  | 0.8383          | 0.8723   |
| 0.0318        | 10.0  | 5970  | 0.8549          | 0.8752   |
| 0.0215        | 11.0  | 6567  | 0.9141          | 0.8756   |
| 0.0132        | 12.0  | 7164  | 0.9676          | 0.8735   |
| 0.0194        | 13.0  | 7761  | 1.0010          | 0.8740   |
| 0.0124        | 14.0  | 8358  | 1.0216          | 0.8765   |
| 0.0055        | 15.0  | 8955  | 1.0512          | 0.8719   |
| 0.0069        | 16.0  | 9552  | 1.0631          | 0.8781   |
| 0.0061        | 17.0  | 10149 | 1.1174          | 0.8740   |
| 0.0044        | 18.0  | 10746 | 1.0963          | 0.8794   |
| 0.0035        | 19.0  | 11343 | 1.1088          | 0.8744   |
| 0.0032        | 20.0  | 11940 | 1.1124          | 0.8760   |


### 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": "distilbert-base-uncased", "model-index": [{"name": "N_distilbert_twitterfin_padding100model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us