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# N_distilbert_twitterfin_padding50model

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: 1.0856
- Accuracy: 0.8777

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6668        | 1.0   | 597   | 0.4299          | 0.8379   |
| 0.3864        | 2.0   | 1194  | 0.3746          | 0.8639   |
| 0.2774        | 3.0   | 1791  | 0.4084          | 0.8698   |
| 0.1897        | 4.0   | 2388  | 0.4874          | 0.8693   |
| 0.14          | 5.0   | 2985  | 0.7174          | 0.8442   |
| 0.0629        | 6.0   | 3582  | 0.6829          | 0.8740   |
| 0.0623        | 7.0   | 4179  | 0.7725          | 0.8790   |
| 0.0403        | 8.0   | 4776  | 0.7908          | 0.8752   |
| 0.0384        | 9.0   | 5373  | 0.8619          | 0.8693   |
| 0.0304        | 10.0  | 5970  | 0.8196          | 0.8765   |
| 0.0183        | 11.0  | 6567  | 0.9165          | 0.8731   |
| 0.0111        | 12.0  | 7164  | 0.9440          | 0.8756   |
| 0.0153        | 13.0  | 7761  | 0.9888          | 0.8689   |
| 0.0129        | 14.0  | 8358  | 0.9551          | 0.8760   |
| 0.0098        | 15.0  | 8955  | 1.0042          | 0.8731   |
| 0.0059        | 16.0  | 9552  | 1.0226          | 0.8710   |
| 0.0076        | 17.0  | 10149 | 1.0608          | 0.8744   |
| 0.0031        | 18.0  | 10746 | 1.0613          | 0.8786   |
| 0.0034        | 19.0  | 11343 | 1.0824          | 0.8786   |
| 0.0021        | 20.0  | 11940 | 1.0856          | 0.8777   |


### 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_padding50model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us