# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("Mahendra42/swin-tiny-patch4-window7-224_RCC_Classifierv4")
model = AutoModelForImageClassification.from_pretrained("Mahendra42/swin-tiny-patch4-window7-224_RCC_Classifierv4")Quick Links
swin-tiny-patch4-window7-224_RCC_Classifierv4
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 2.7347
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0296 | 1.0 | 105 | 3.2075 | 0.0 |
| 0.0377 | 2.0 | 210 | 2.6132 | 0.0 |
| 0.0104 | 3.0 | 315 | 2.2246 | 0.0 |
| 0.0177 | 4.0 | 420 | 2.6363 | 0.0 |
| 0.007 | 5.0 | 525 | 2.6364 | 0.0 |
| 0.0082 | 6.0 | 630 | 2.6554 | 0.0 |
| 0.0078 | 7.0 | 735 | 2.6351 | 0.0 |
| 0.0015 | 8.0 | 840 | 2.6925 | 0.0 |
| 0.0073 | 9.0 | 945 | 2.7134 | 0.0 |
| 0.0018 | 10.0 | 1050 | 2.7347 | 0.0 |
Framework versions
- Transformers 4.34.1
- Pytorch 1.12.1
- Datasets 2.14.5
- Tokenizers 0.14.1
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Model tree for Mahendra42/swin-tiny-patch4-window7-224_RCC_Classifierv4
Base model
microsoft/swin-tiny-patch4-window7-224Evaluation results
- F1 on imagefoldervalidation set self-reported0.000
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Mahendra42/swin-tiny-patch4-window7-224_RCC_Classifierv4") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")