---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- f1
model-index:
- name: 7-classifier-finetuned-padchest
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: train
      args: default
    metrics:
    - name: F1
      type: f1
      value: 0.7449020840597932
---

<!-- 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. -->

# 7-classifier-finetuned-padchest

This model is a fine-tuned version of [nickmuchi/vit-finetuned-chest-xray-pneumonia](https://huggingface.co./nickmuchi/vit-finetuned-chest-xray-pneumonia) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7844
- F1: 0.7449

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.0948        | 1.0   | 18   | 1.9801          | 0.1856 |
| 1.916         | 2.0   | 36   | 1.7571          | 0.3242 |
| 1.6873        | 3.0   | 54   | 1.5333          | 0.4149 |
| 1.4576        | 4.0   | 72   | 1.3515          | 0.4656 |
| 1.2824        | 5.0   | 90   | 1.2288          | 0.4936 |
| 1.2004        | 6.0   | 108  | 1.1050          | 0.5462 |
| 1.1264        | 7.0   | 126  | 1.0643          | 0.5713 |
| 1.0149        | 8.0   | 144  | 1.0612          | 0.5718 |
| 0.9839        | 9.0   | 162  | 0.9897          | 0.6266 |
| 0.9001        | 10.0  | 180  | 0.9542          | 0.6710 |
| 0.9093        | 11.0  | 198  | 0.8993          | 0.6811 |
| 0.8824        | 12.0  | 216  | 0.8877          | 0.7018 |
| 0.8237        | 13.0  | 234  | 0.8970          | 0.7071 |
| 0.8446        | 14.0  | 252  | 0.8619          | 0.7084 |
| 0.7766        | 15.0  | 270  | 0.8271          | 0.7331 |
| 0.7405        | 16.0  | 288  | 0.8516          | 0.7237 |
| 0.7672        | 17.0  | 306  | 0.8036          | 0.7223 |
| 0.7149        | 18.0  | 324  | 0.8188          | 0.7186 |
| 0.7           | 19.0  | 342  | 0.8391          | 0.7274 |
| 0.7011        | 20.0  | 360  | 0.7922          | 0.7424 |
| 0.695         | 21.0  | 378  | 0.8065          | 0.7394 |
| 0.6655        | 22.0  | 396  | 0.7783          | 0.7473 |
| 0.6377        | 23.0  | 414  | 0.7977          | 0.7296 |
| 0.6884        | 24.0  | 432  | 0.7724          | 0.7387 |
| 0.614         | 25.0  | 450  | 0.8372          | 0.7351 |
| 0.6008        | 26.0  | 468  | 0.8229          | 0.7277 |
| 0.6402        | 27.0  | 486  | 0.7958          | 0.7300 |
| 0.592         | 28.0  | 504  | 0.8222          | 0.7264 |
| 0.5774        | 29.0  | 522  | 0.7613          | 0.7511 |
| 0.584         | 30.0  | 540  | 0.7866          | 0.7377 |
| 0.558         | 31.0  | 558  | 0.8298          | 0.7351 |
| 0.5871        | 32.0  | 576  | 0.7727          | 0.7494 |
| 0.5608        | 33.0  | 594  | 0.7753          | 0.7695 |
| 0.5385        | 34.0  | 612  | 0.7585          | 0.7575 |
| 0.5461        | 35.0  | 630  | 0.7664          | 0.7521 |
| 0.506         | 36.0  | 648  | 0.7624          | 0.7581 |
| 0.5132        | 37.0  | 666  | 0.7914          | 0.7347 |
| 0.5083        | 38.0  | 684  | 0.7913          | 0.7425 |
| 0.5042        | 39.0  | 702  | 0.7704          | 0.7556 |
| 0.4539        | 40.0  | 720  | 0.7590          | 0.7578 |
| 0.4714        | 41.0  | 738  | 0.7912          | 0.7503 |
| 0.4681        | 42.0  | 756  | 0.7838          | 0.7420 |
| 0.4482        | 43.0  | 774  | 0.7781          | 0.7345 |
| 0.4535        | 44.0  | 792  | 0.7823          | 0.7415 |
| 0.4284        | 45.0  | 810  | 0.8104          | 0.7449 |
| 0.436         | 46.0  | 828  | 0.7829          | 0.7421 |
| 0.4526        | 47.0  | 846  | 0.7932          | 0.7567 |
| 0.4672        | 48.0  | 864  | 0.7827          | 0.7411 |
| 0.4171        | 49.0  | 882  | 0.7835          | 0.7447 |
| 0.4126        | 50.0  | 900  | 0.7844          | 0.7449 |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.13.3