Downloads · 30 days
10
3% of all-time downloads
distill_ViT_to_MobileNet
BhavanaMalla/distill_ViT_to_MobileNet
distill_ViT_to_MobileNet is a image classification model from BhavanaMalla. 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. --
All-time downloads
372
Public
Parameters
2.3M
9.1 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors9.1 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- Model type
- mobilenet_v2
- Access
- Public
- Created
- Jan 1, 2024
- Updated
- Jan 1, 2024
- SHA
- 573d3328
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_ViT_to_MobileNet
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: -16.9518
- Accuracy: 0.3759
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| -17.0436 | 1.0 | 130 | -16.9518 | 0.3759 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Image Classification
- Library
- transformers
- Type
- mobilenet_v2
- Created
- Jan 1, 2024
- Updated
- Jan 1, 2024