---
license: apache-2.0
base_model: microsoft/swin-base-patch4-window12-384
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: mimic-cxr-swin-large-patch4-window12-384-test
  results: []
---

<!-- 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. -->

# mimic-cxr-swin-large-patch4-window12-384-test

This model is a fine-tuned version of [microsoft/swin-base-patch4-window12-384](https://huggingface.co/microsoft/swin-base-patch4-window12-384) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2415
- F1: 0.0

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1  |
|:-------------:|:------:|:----:|:---------------:|:---:|
| 0.4807        | 0.9524 | 15   | 0.2439          | 0.0 |
| 0.3154        | 1.9683 | 31   | 0.2422          | 0.0 |
| 0.2564        | 2.8571 | 45   | 0.2415          | 0.0 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.1.2
- Datasets 3.0.2
- Tokenizers 0.19.1