---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: vision-classifier
  results: []
widget:
- text: 'Age: 40-64 years, Gender: Female, Race: White, non-Hispanic, Diabetes: No'
pipeline_tag: text-classification
---

<!-- 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. -->

# vision-classifier

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0002

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 173  | 0.0002          |
| No log        | 2.0   | 346  | 0.0002          |
| 0.0003        | 3.0   | 519  | 0.0002          |
| 0.0003        | 4.0   | 692  | 0.0002          |
| 0.0003        | 5.0   | 865  | 0.0002          |
| 0.0003        | 6.0   | 1038 | 0.0002          |
| 0.0003        | 7.0   | 1211 | 0.0002          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu118
- Datasets 2.19.1
- Tokenizers 0.20.3