Downloads · 30 days
24
38% of all-time downloads
cat-sounds2
enverkulahli/cat-sounds2
cat-sounds2 is a image classification model from enverkulahli. 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
64
Public
Parameters
85.8M
1 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 26, 2024
- Updated
- Jan 26, 2024
- SHA
- 06dd1a3c
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. -->
cat-sounds2
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.2381
- Accuracy: 0.9504
- F1: 0.9503
- Precision: 0.9510
- Recall: 0.9504
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0794 | 1.0 | 297 | 0.3034 | 0.9277 | 0.9280 | 0.9297 | 0.9277 |
| 0.0764 | 2.0 | 594 | 0.2728 | 0.9386 | 0.9379 | 0.9391 | 0.9386 |
| 0.0331 | 3.0 | 891 | 0.2381 | 0.9504 | 0.9503 | 0.9510 | 0.9504 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jan 26, 2024
- Updated
- Jan 26, 2024