Downloads · 30 days
7
0% of all-time downloads
planes-trains-automobiles
nateraw/planes-trains-automobiles
planes-trains-automobiles is a image classification model from nateraw. 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
3K
Public
Repo size
3.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin343 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Aug 23, 2021
- SHA
- dcf495d9
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. -->
planes-trains-automobiles
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the huggingpics dataset. It achieves the following results on the evaluation set:
- Loss: 0.0534
- Accuracy: 0.9851
Model description
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
automobiles
planes
trains
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0283 | 1.0 | 48 | 0.0434 | 0.9851 |
| 0.0224 | 2.0 | 96 | 0.0548 | 0.9851 |
| 0.0203 | 3.0 | 144 | 0.0445 | 0.9851 |
| 0.0195 | 4.0 | 192 | 0.0534 | 0.9851 |
Framework versions
- Transformers 4.9.2
- Pytorch 1.9.0+cu102
- Datasets 1.11.0
- Tokenizers 0.10.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Aug 23, 2021