|
--- |
|
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 |
|
|