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# distilbert_twitterfin_padding0model

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: 1.0496
- Accuracy: 0.8844

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5625        | 1.0   | 597   | 0.3936          | 0.8526   |
| 0.3236        | 2.0   | 1194  | 0.3517          | 0.8748   |
| 0.231         | 3.0   | 1791  | 0.4241          | 0.8794   |
| 0.1474        | 4.0   | 2388  | 0.5579          | 0.8807   |
| 0.1004        | 5.0   | 2985  | 0.6444          | 0.8848   |
| 0.0419        | 6.0   | 3582  | 0.7431          | 0.8765   |
| 0.0394        | 7.0   | 4179  | 0.7534          | 0.8790   |
| 0.0287        | 8.0   | 4776  | 0.7662          | 0.8819   |
| 0.0262        | 9.0   | 5373  | 0.8529          | 0.8819   |
| 0.0168        | 10.0  | 5970  | 0.8335          | 0.8844   |
| 0.0115        | 11.0  | 6567  | 0.8641          | 0.8823   |
| 0.0141        | 12.0  | 7164  | 0.9629          | 0.8760   |
| 0.0097        | 13.0  | 7761  | 0.9226          | 0.8844   |
| 0.0066        | 14.0  | 8358  | 0.9800          | 0.8798   |
| 0.0033        | 15.0  | 8955  | 0.9822          | 0.8844   |
| 0.0036        | 16.0  | 9552  | 0.9928          | 0.8827   |
| 0.0029        | 17.0  | 10149 | 1.0094          | 0.8857   |
| 0.0009        | 18.0  | 10746 | 1.0535          | 0.8857   |
| 0.0011        | 19.0  | 11343 | 1.0431          | 0.8815   |
| 0.0034        | 20.0  | 11940 | 1.0496          | 0.8844   |


### 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_padding0model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us