Downloads · 30 days
14
3% of all-time downloads
vit-base-patch16-224-finetuned-polyterrasse
ambarish004/vit-base-patch16-224-finetuned-polyterrasse
vit-base-patch16-224-finetuned-polyterrasse is a image classification model from ambarish004. 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. --
All-time downloads
484
Public
Parameters
85.8M
1.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors343 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Jan 22, 2024
- Updated
- Jan 23, 2024
- SHA
- 3f1b8fd2
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-finetuned-polyterrasse
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: 0.2635
- 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|---|---|---|---|---|
| No log | 0.86 | 3 | 0.5713 | 0.6667 |
| No log | 2.0 | 7 | 0.2635 | 1.0 |
| 0.3363 | 2.86 | 10 | 0.1832 | 1.0 |
| 0.3363 | 4.0 | 14 | 0.1458 | 1.0 |
| 0.3363 | 4.29 | 15 | 0.1437 | 1.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jan 22, 2024
- Updated
- Jan 23, 2024