Downloads · 30 days
5
1% of all-time downloads
cat_ds
ChrisGuarino/cat_ds
cat_ds is a image classification model from ChrisGuarino. 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
414
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 14, 2024
- Updated
- Jan 29, 2024
- SHA
- 641b5563
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. -->
cat_ds
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0137
- 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4194 | 1.0 | 13 | 0.0737 | 1.0 |
| 0.063 | 2.0 | 26 | 0.0266 | 1.0 |
| 0.051 | 3.0 | 39 | 0.0151 | 1.0 |
| 0.014 | 4.0 | 52 | 0.0137 | 1.0 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.0.post103
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jan 14, 2024
- Updated
- Jan 29, 2024