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distill-beans-vit-224-to-mobile-net-v2
aisuko/distill-beans-vit-224-to-mobile-net-v2
distill-beans-vit-224-to-mobile-net-v2 is a image classification model from aisuko. Use it when you need a label for an image. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- Model type
- mobilenet_v2
- Access
- Public
- Created
- Dec 12, 2023
- Updated
- Feb 29, 2024
- SHA
- e2a66733
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. -->
distill-beans-vit-224-to-mobile-net-v2
This model is a fine-tuned version of on the beans dataset. It achieves the following results on the evaluation set:
- Loss: 0.4060
- Accuracy: 0.72
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7502 | 1.0 | 50 | 0.5091 | 0.71 |
| 0.5833 | 2.0 | 100 | 0.4521 | 0.71 |
| 0.5376 | 3.0 | 150 | 0.5489 | 0.71 |
| 0.5283 | 4.0 | 200 | 0.4060 | 0.72 |
| 0.5164 | 5.0 | 250 | 0.4413 | 0.7 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Image Classification
- Library
- transformers
- Type
- mobilenet_v2
- Created
- Dec 12, 2023
- Updated
- Feb 29, 2024