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quickdraw-MobileVITV2-1.0-Finetune
JoshuaKelleyDs/quickdraw-MobileVITV2-1.0-Finetune
quickdraw-MobileVITV2-1.0-Finetune is a image classification model from JoshuaKelleyDs. 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
- mobilevitv2
- Access
- Public
- Created
- May 15, 2024
- Updated
- May 16, 2024
- SHA
- 2aa636af
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. -->
quickdraw-MobileVITV2-1.0-Finetune
This model is a fine-tuned version of apple/mobilevitv2-1.0-imagenet1k-256 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0138
- Accuracy: 0.7524
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: 0.0008
- train_batch_size: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10000
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4934 | 0.5688 | 5000 | 1.4418 | 0.6444 |
| 1.2717 | 1.1377 | 10000 | 1.2881 | 0.6771 |
| 1.1742 | 1.7065 | 15000 | 1.1661 | 0.7052 |
| 1.0846 | 2.2753 | 20000 | 1.1149 | 0.7178 |
| 1.0619 | 2.8441 | 25000 | 1.0778 | 0.7261 |
| 1.0029 | 3.4130 | 30000 | 1.0556 | 0.7322 |
| 0.9936 | 3.9818 | 35000 | 1.0317 | 0.7375 |
| 0.9429 | 4.5506 | 40000 | 1.0150 | 0.7424 |
| 0.8818 | 5.1195 | 45000 | 1.0119 | 0.7451 |
| 0.8868 | 5.6883 | 50000 | 0.9947 | 0.7486 |
| 0.8323 | 6.2571 | 55000 | 1.0007 | 0.7491 |
| 0.838 | 6.8259 | 60000 | 0.9854 | 0.7522 |
| 0.7835 | 7.3948 | 65000 | 0.9989 | 0.7521 |
| 0.7836 | 7.9636 | 70000 | 0.9900 | 0.7535 |
| 0.7451 | 8.5324 | 75000 | 1.0044 | 0.7529 |
| 0.7207 | 9.1013 | 80000 | 1.0054 | 0.7531 |
| 0.721 | 9.6701 | 85000 | 1.0081 | 0.7529 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- mobilevitv2
- License
- other
- Created
- May 15, 2024
- Updated
- May 16, 2024