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vit_epochs5_batch32_lr5e-05_size224_tiles2_seed2_q1
Omriy123/vit_epochs5_batch32_lr5e-05_size224_tiles2_seed2_q1
vit_epochs5_batch32_lr5e-05_size224_tiles2_seed2_q1 is a image classification model from Omriy123. 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
- May 24, 2024
- Updated
- May 24, 2024
- SHA
- f5887b69
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. -->
vit_epochs5_batch32_lr5e-05_size224_tiles2_seed2_q1
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the Dogs_vs_Cats dataset. It achieves the following results on the evaluation set:
- Loss: 0.0496
- Accuracy: 0.9909
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0052 | 1.0 | 469 | 0.0526 | 0.9867 |
| 0.0002 | 2.0 | 938 | 0.0637 | 0.988 |
| 0.0281 | 3.0 | 1407 | 0.0519 | 0.9912 |
| 0.0001 | 4.0 | 1876 | 0.0496 | 0.9909 |
| 0.0001 | 5.0 | 2345 | 0.0503 | 0.9907 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- May 24, 2024
- Updated
- May 24, 2024