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finetuned-for-YogaPoses
AdityasArsenal/finetuned-for-YogaPoses
finetuned-for-YogaPoses is a image classification model from AdityasArsenal. Use it when you need a label for an image. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- other
- Model type
- mobilenet_v2
- Access
- Public
- Created
- Dec 4, 2024
- Updated
- Dec 6, 2024
- SHA
- 20456bcb
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
finetuned-for-YogaPoses
This model is a fine-tuned version of google/mobilenet_v2_1.0_224 on the indian_food_images dataset. It achieves the following results on the evaluation set:
- Loss: 0.2234
- Accuracy: 0.9463
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2812 | 1.8868 | 100 | 0.1830 | 0.9329 |
| 0.1828 | 3.7736 | 200 | 0.2234 | 0.9463 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Image Classification
- Library
- transformers
- Type
- mobilenet_v2
- License
- other
- Created
- Dec 4, 2024
- Updated
- Dec 6, 2024