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cvt-13-finetuned-ibird
hemlatachanne/cvt-13-finetuned-ibird
cvt-13-finetuned-ibird is a image classification model from hemlatachanne. 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
- Apr 3, 2024
- Updated
- Apr 3, 2024
- SHA
- cbea2445
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. -->
cvt-13-finetuned-ibird
This model is a fine-tuned version of microsoft/cvt-13 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0637
- Accuracy: 0.9853
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0089 | 1.0 | 565 | 0.2878 | 0.9649 |
| 0.7855 | 2.0 | 1131 | 0.1079 | 0.9791 |
| 0.6657 | 3.0 | 1696 | 0.0706 | 0.9867 |
| 0.7475 | 4.0 | 2262 | 0.0668 | 0.9867 |
| 0.6021 | 5.0 | 2825 | 0.0637 | 0.9853 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- cvt
- License
- apache-2.0
- Created
- Apr 3, 2024
- Updated
- Apr 3, 2024