metadata
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: []
mimic-cxr-swin-large-patch4-window12-384-test
This model is a fine-tuned version of 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