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cvt-21-384-22k-finetuned
b07611031/cvt-21-384-22k-finetuned
cvt-21-384-22k-finetuned is a image classification model from b07611031. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- cvt
- Access
- Public
- Created
- Mar 3, 2024
- Updated
- Mar 3, 2024
- SHA
- 25211c3b
Base models
Datasets
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. -->
cvt-21-384-22k-finetuned
This model is a fine-tuned version of microsoft/cvt-21-384-22k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0004
- Accuracy: 1.0
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: 2e-05
- train_batch_size: 10
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 90 | 0.1145 | 0.9777 |
| No log | 2.0 | 180 | 0.0646 | 0.9732 |
| No log | 3.0 | 270 | 0.0524 | 0.9821 |
| No log | 4.0 | 360 | 0.0144 | 0.9955 |
| No log | 5.0 | 450 | 0.0234 | 0.9911 |
| 0.3541 | 6.0 | 540 | 0.0189 | 0.9911 |
| 0.3541 | 7.0 | 630 | 0.0099 | 0.9955 |
| 0.3541 | 8.0 | 720 | 0.0253 | 0.9866 |
| 0.3541 | 9.0 | 810 | 0.0414 | 0.9866 |
| 0.3541 | 10.0 | 900 | 0.0034 | 1.0 |
| 0.3541 | 11.0 | 990 | 0.0099 | 0.9955 |
| 0.2485 | 12.0 | 1080 | 0.0004 | 1.0 |
| 0.2485 | 13.0 | 1170 | 0.0088 | 0.9955 |
| 0.2485 | 14.0 | 1260 | 0.0104 | 0.9955 |
| 0.2485 | 15.0 | 1350 | 0.0001 | 1.0 |
| 0.2485 | 16.0 | 1440 | 0.0098 | 0.9955 |
| 0.2229 | 17.0 | 1530 | 0.0002 | 1.0 |
| 0.2229 | 18.0 | 1620 | 0.0004 | 1.0 |
| 0.2229 | 19.0 | 1710 | 0.0002 | 1.0 |
| 0.2229 | 20.0 | 1800 | 0.0001 | 1.0 |
| 0.2229 | 21.0 | 1890 | 0.0005 | 1.0 |
| 0.2229 | 22.0 | 1980 | 0.0002 | 1.0 |
| 0.2192 | 23.0 | 2070 | 0.0006 | 1.0 |
| 0.2192 | 24.0 | 2160 | 0.0001 | 1.0 |
| 0.2192 | 25.0 | 2250 | 0.0013 | 1.0 |
| 0.2192 | 26.0 | 2340 | 0.0002 | 1.0 |
| 0.2192 | 27.0 | 2430 | 0.0002 | 1.0 |
| 0.211 | 28.0 | 2520 | 0.0012 | 1.0 |
| 0.211 | 29.0 | 2610 | 0.0013 | 1.0 |
| 0.211 | 30.0 | 2700 | 0.0004 | 1.0 |
Framework versions
- Transformers 4.38.1
- Pytorch 1.10.0+cu111
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- cvt
- License
- apache-2.0
- Created
- Mar 3, 2024
- Updated
- Mar 3, 2024