
<!-- 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_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: 1.0528
- Accuracy: 0.8832

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6909        | 1.0   | 597   | 0.4072          | 0.8576   |
| 0.3923        | 2.0   | 1194  | 0.3465          | 0.8765   |
| 0.2852        | 3.0   | 1791  | 0.3862          | 0.8786   |
| 0.1967        | 4.0   | 2388  | 0.4676          | 0.8794   |
| 0.1543        | 5.0   | 2985  | 0.5885          | 0.8660   |
| 0.0729        | 6.0   | 3582  | 0.6574          | 0.8681   |
| 0.0611        | 7.0   | 4179  | 0.7198          | 0.8756   |
| 0.0503        | 8.0   | 4776  | 0.7859          | 0.8656   |
| 0.0498        | 9.0   | 5373  | 0.7831          | 0.8786   |
| 0.0352        | 10.0  | 5970  | 0.8445          | 0.8740   |
| 0.0223        | 11.0  | 6567  | 0.8618          | 0.8748   |
| 0.0179        | 12.0  | 7164  | 0.8994          | 0.8815   |
| 0.0152        | 13.0  | 7761  | 0.9486          | 0.8802   |
| 0.0124        | 14.0  | 8358  | 0.9630          | 0.8823   |
| 0.009         | 15.0  | 8955  | 0.9582          | 0.8769   |
| 0.0063        | 16.0  | 9552  | 0.9968          | 0.8823   |
| 0.0034        | 17.0  | 10149 | 1.0137          | 0.8832   |
| 0.0029        | 18.0  | 10746 | 1.0714          | 0.8802   |
| 0.005         | 19.0  | 11343 | 1.0397          | 0.8827   |
| 0.0027        | 20.0  | 11940 | 1.0528          | 0.8832   |


### 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_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