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# distilbert_twitterfin_padding20model

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: 1.1861
- Accuracy: 0.8664

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6755        | 1.0   | 597   | 0.4424          | 0.8312   |
| 0.3928        | 2.0   | 1194  | 0.3581          | 0.8756   |
| 0.2881        | 3.0   | 1791  | 0.4017          | 0.8702   |
| 0.1946        | 4.0   | 2388  | 0.5543          | 0.8706   |
| 0.1448        | 5.0   | 2985  | 0.6680          | 0.8585   |
| 0.0613        | 6.0   | 3582  | 0.7264          | 0.8585   |
| 0.0517        | 7.0   | 4179  | 0.8782          | 0.8446   |
| 0.0459        | 8.0   | 4776  | 0.9466          | 0.8539   |
| 0.0331        | 9.0   | 5373  | 0.8594          | 0.8693   |
| 0.0285        | 10.0  | 5970  | 0.9603          | 0.8606   |
| 0.02          | 11.0  | 6567  | 1.0244          | 0.8585   |
| 0.0173        | 12.0  | 7164  | 1.0103          | 0.8610   |
| 0.017         | 13.0  | 7761  | 1.0972          | 0.8652   |
| 0.0102        | 14.0  | 8358  | 1.1062          | 0.8660   |
| 0.0052        | 15.0  | 8955  | 1.1196          | 0.8664   |
| 0.0054        | 16.0  | 9552  | 1.1968          | 0.8681   |
| 0.0072        | 17.0  | 10149 | 1.1564          | 0.8664   |
| 0.001         | 18.0  | 10746 | 1.1946          | 0.8723   |
| 0.0043        | 19.0  | 11343 | 1.1976          | 0.8689   |
| 0.0021        | 20.0  | 11940 | 1.1861          | 0.8664   |


### 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": "distilbert_twitterfin_padding20model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us