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# distilbert_twitterfin_padding90model

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: 1.1388
- Accuracy: 0.8714

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6718        | 1.0   | 597   | 0.4965          | 0.8007   |
| 0.4114        | 2.0   | 1194  | 0.3593          | 0.8760   |
| 0.3053        | 3.0   | 1791  | 0.3970          | 0.8769   |
| 0.2064        | 4.0   | 2388  | 0.5193          | 0.8714   |
| 0.1666        | 5.0   | 2985  | 0.6195          | 0.8593   |
| 0.0775        | 6.0   | 3582  | 0.6972          | 0.8756   |
| 0.0734        | 7.0   | 4179  | 0.7703          | 0.8685   |
| 0.0555        | 8.0   | 4776  | 0.8217          | 0.8635   |
| 0.0394        | 9.0   | 5373  | 0.8715          | 0.8693   |
| 0.0321        | 10.0  | 5970  | 0.9257          | 0.8702   |
| 0.0199        | 11.0  | 6567  | 0.9315          | 0.8631   |
| 0.0159        | 12.0  | 7164  | 0.9733          | 0.8685   |
| 0.0155        | 13.0  | 7761  | 1.0329          | 0.8727   |
| 0.0099        | 14.0  | 8358  | 1.0347          | 0.8748   |
| 0.0113        | 15.0  | 8955  | 1.0812          | 0.8702   |
| 0.0056        | 16.0  | 9552  | 1.0760          | 0.8752   |
| 0.0077        | 17.0  | 10149 | 1.1068          | 0.8710   |
| 0.0024        | 18.0  | 10746 | 1.1203          | 0.8731   |
| 0.0042        | 19.0  | 11343 | 1.1445          | 0.8731   |
| 0.0025        | 20.0  | 11940 | 1.1388          | 0.8714   |


### 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_padding90model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us