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# distilbert_twitterfin_padding60model

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: 1.2102
- Accuracy: 0.8673

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6858        | 1.0   | 597   | 0.5056          | 0.8086   |
| 0.4365        | 2.0   | 1194  | 0.3822          | 0.8606   |
| 0.3156        | 3.0   | 1791  | 0.4330          | 0.8626   |
| 0.228         | 4.0   | 2388  | 0.5520          | 0.8710   |
| 0.1729        | 5.0   | 2985  | 0.6801          | 0.8434   |
| 0.0844        | 6.0   | 3582  | 0.6752          | 0.8626   |
| 0.0788        | 7.0   | 4179  | 0.7749          | 0.8631   |
| 0.0598        | 8.0   | 4776  | 0.8199          | 0.8572   |
| 0.0544        | 9.0   | 5373  | 0.9913          | 0.8543   |
| 0.0422        | 10.0  | 5970  | 1.0151          | 0.8626   |
| 0.0273        | 11.0  | 6567  | 0.9725          | 0.8597   |
| 0.0235        | 12.0  | 7164  | 1.0349          | 0.8668   |
| 0.0166        | 13.0  | 7761  | 1.1150          | 0.8656   |
| 0.0131        | 14.0  | 8358  | 1.1363          | 0.8710   |
| 0.0108        | 15.0  | 8955  | 1.1903          | 0.8543   |
| 0.0079        | 16.0  | 9552  | 1.1553          | 0.8652   |
| 0.0112        | 17.0  | 10149 | 1.1944          | 0.8652   |
| 0.0035        | 18.0  | 10746 | 1.2227          | 0.8681   |
| 0.0064        | 19.0  | 11343 | 1.2064          | 0.8677   |
| 0.0033        | 20.0  | 11940 | 1.2102          | 0.8673   |


### 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_padding60model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us