
<!-- 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_padding70model

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: 1.0730
- Accuracy: 0.8765

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6887        | 1.0   | 597   | 0.4586          | 0.8262   |
| 0.4254        | 2.0   | 1194  | 0.3631          | 0.8647   |
| 0.3042        | 3.0   | 1791  | 0.3923          | 0.8769   |
| 0.2115        | 4.0   | 2388  | 0.5038          | 0.8693   |
| 0.1643        | 5.0   | 2985  | 0.5552          | 0.8798   |
| 0.0827        | 6.0   | 3582  | 0.6608          | 0.8735   |
| 0.0656        | 7.0   | 4179  | 0.7668          | 0.8660   |
| 0.0523        | 8.0   | 4776  | 0.7806          | 0.8685   |
| 0.0474        | 9.0   | 5373  | 0.8615          | 0.8668   |
| 0.031         | 10.0  | 5970  | 0.9038          | 0.8714   |
| 0.0232        | 11.0  | 6567  | 0.9269          | 0.8693   |
| 0.0195        | 12.0  | 7164  | 0.9192          | 0.8723   |
| 0.0275        | 13.0  | 7761  | 0.9875          | 0.8685   |
| 0.0171        | 14.0  | 8358  | 1.0308          | 0.8714   |
| 0.0129        | 15.0  | 8955  | 1.0227          | 0.8744   |
| 0.0052        | 16.0  | 9552  | 1.0471          | 0.8685   |
| 0.0076        | 17.0  | 10149 | 1.0448          | 0.8769   |
| 0.0064        | 18.0  | 10746 | 1.0537          | 0.8769   |
| 0.0078        | 19.0  | 11343 | 1.0615          | 0.8744   |
| 0.0034        | 20.0  | 11940 | 1.0730          | 0.8765   |


### 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_padding70model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us