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vit-base-patch16-224-ethos-25
pk3388/vit-base-patch16-224-ethos-25
vit-base-patch16-224-ethos-25 is a image classification model from pk3388. 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 22, 2024
- Updated
- May 22, 2024
- SHA
- f58c2f03
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-base-patch16-224-ethos-25
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.2803
- Accuracy: 0.9171
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: 0.0002
- 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 |
|---|---|---|---|---|
| 1.606 | 0.99 | 43 | 1.3384 | 0.6387 |
| 0.6334 | 1.99 | 86 | 0.5900 | 0.8519 |
| 0.3928 | 2.98 | 129 | 0.4637 | 0.8739 |
| 0.2361 | 4.0 | 173 | 0.3965 | 0.8909 |
| 0.1816 | 4.99 | 216 | 0.4107 | 0.8782 |
| 0.1253 | 5.99 | 259 | 0.3433 | 0.8976 |
| 0.1255 | 6.98 | 302 | 0.3334 | 0.9069 |
| 0.1009 | 8.0 | 346 | 0.3042 | 0.9154 |
| 0.0812 | 8.99 | 389 | 0.2809 | 0.9146 |
| 0.0698 | 9.94 | 430 | 0.2803 | 0.9171 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- May 22, 2024
- Updated
- May 22, 2024