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vit-base-patch16-224-in21k-finetuned-cassava
siddharth963/vit-base-patch16-224-in21k-finetuned-cassava
vit-base-patch16-224-in21k-finetuned-cassava is a image classification model from siddharth963. 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
- vit
- Access
- Public
- Created
- Sep 27, 2022
- Updated
- Oct 29, 2022
- SHA
- d5cb2b4a
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. -->
vit-base-patch16-224-in21k-finetuned-cassava
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the image_folder dataset. It achieves the following results on the evaluation set:
- Loss: 0.3742
- Accuracy: 0.8706
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5628 | 1.0 | 150 | 0.5357 | 0.8308 |
| 0.4398 | 2.0 | 300 | 0.4311 | 0.8598 |
| 0.4022 | 3.0 | 450 | 0.3958 | 0.8668 |
| 0.3855 | 4.0 | 600 | 0.4030 | 0.8598 |
| 0.3659 | 5.0 | 750 | 0.4125 | 0.8617 |
| 0.3393 | 6.0 | 900 | 0.3840 | 0.8673 |
| 0.3022 | 7.0 | 1050 | 0.3775 | 0.8673 |
| 0.2941 | 8.0 | 1200 | 0.3742 | 0.8706 |
| 0.2903 | 9.0 | 1350 | 0.3809 | 0.8696 |
| 0.2584 | 10.0 | 1500 | 0.3756 | 0.8696 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Sep 27, 2022
- Updated
- Oct 29, 2022