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# N_distilbert_twitterfin_padding30model

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: 1.0998
- Accuracy: 0.8811

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6419        | 1.0   | 597   | 0.3913          | 0.8526   |
| 0.3669        | 2.0   | 1194  | 0.3503          | 0.8719   |
| 0.2631        | 3.0   | 1791  | 0.3806          | 0.8882   |
| 0.1808        | 4.0   | 2388  | 0.4746          | 0.8836   |
| 0.135         | 5.0   | 2985  | 0.6484          | 0.8748   |
| 0.0563        | 6.0   | 3582  | 0.6781          | 0.8777   |
| 0.0445        | 7.0   | 4179  | 0.7460          | 0.8815   |
| 0.0323        | 8.0   | 4776  | 0.7792          | 0.8777   |
| 0.0323        | 9.0   | 5373  | 0.8680          | 0.8740   |
| 0.0221        | 10.0  | 5970  | 0.8690          | 0.8811   |
| 0.0164        | 11.0  | 6567  | 0.9499          | 0.8769   |
| 0.0092        | 12.0  | 7164  | 0.9945          | 0.8752   |
| 0.0121        | 13.0  | 7761  | 0.9914          | 0.8802   |
| 0.0072        | 14.0  | 8358  | 1.0079          | 0.8819   |
| 0.0075        | 15.0  | 8955  | 1.0475          | 0.8790   |
| 0.0069        | 16.0  | 9552  | 1.0287          | 0.8827   |
| 0.0034        | 17.0  | 10149 | 1.0776          | 0.8823   |
| 0.0029        | 18.0  | 10746 | 1.1006          | 0.8815   |
| 0.0036        | 19.0  | 11343 | 1.0892          | 0.8811   |
| 0.0032        | 20.0  | 11940 | 1.0998          | 0.8811   |


### 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_padding30model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us