
<!-- 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. -->

# distilbert_twitterfin_padding10model

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: 1.0996
- Accuracy: 0.8815

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5889        | 1.0   | 597   | 0.3931          | 0.8513   |
| 0.3408        | 2.0   | 1194  | 0.3420          | 0.8819   |
| 0.2458        | 3.0   | 1791  | 0.3978          | 0.8807   |
| 0.1516        | 4.0   | 2388  | 0.5900          | 0.8819   |
| 0.1098        | 5.0   | 2985  | 0.6569          | 0.8781   |
| 0.0499        | 6.0   | 3582  | 0.7546          | 0.8756   |
| 0.042         | 7.0   | 4179  | 0.7920          | 0.8765   |
| 0.0348        | 8.0   | 4776  | 0.8574          | 0.8673   |
| 0.0341        | 9.0   | 5373  | 0.8166          | 0.8781   |
| 0.0235        | 10.0  | 5970  | 0.9018          | 0.8760   |
| 0.0154        | 11.0  | 6567  | 0.9876          | 0.8727   |
| 0.0115        | 12.0  | 7164  | 0.9529          | 0.8836   |
| 0.0104        | 13.0  | 7761  | 0.9724          | 0.8765   |
| 0.0076        | 14.0  | 8358  | 1.0292          | 0.8735   |
| 0.0089        | 15.0  | 8955  | 1.0013          | 0.8723   |
| 0.0033        | 16.0  | 9552  | 1.0696          | 0.8840   |
| 0.0076        | 17.0  | 10149 | 1.1262          | 0.8681   |
| 0.001         | 18.0  | 10746 | 1.1008          | 0.8773   |
| 0.0016        | 19.0  | 11343 | 1.0923          | 0.8811   |
| 0.0039        | 20.0  | 11940 | 1.0996          | 0.8815   |


### 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_padding10model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us