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rmsProp_vitB-32-384-2e4-ne-1-bs-16
ZaneHorrible/rmsProp_vitB-32-384-2e4-ne-1-bs-16
rmsProp_vitB-32-384-2e4-ne-1-bs-16 is a image classification model from ZaneHorrible. 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 15, 2024
- Updated
- May 15, 2024
- SHA
- 9910c64e
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. -->
rmsProp_vitB-32-384-2e4-ne-1-bs-16
This model is a fine-tuned version of google/vit-base-patch16-384 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0752
- Accuracy: 0.9828
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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.774 | 0.07 | 100 | 3.4867 | 0.0819 |
| 1.1104 | 0.14 | 200 | 1.5104 | 0.5359 |
| 0.2994 | 0.21 | 300 | 0.3914 | 0.8836 |
| 0.2754 | 0.28 | 400 | 0.2456 | 0.9210 |
| 0.212 | 0.35 | 500 | 0.1669 | 0.9511 |
| 0.1063 | 0.42 | 600 | 0.1406 | 0.9511 |
| 0.0999 | 0.49 | 700 | 0.2218 | 0.9425 |
| 0.0609 | 0.56 | 800 | 0.1407 | 0.9598 |
| 0.0784 | 0.63 | 900 | 0.0985 | 0.9641 |
| 0.0251 | 0.7 | 1000 | 0.0963 | 0.9698 |
| 0.0094 | 0.77 | 1100 | 0.0893 | 0.9727 |
| 0.0153 | 0.84 | 1200 | 0.1044 | 0.9670 |
| 0.032 | 0.91 | 1300 | 0.1035 | 0.9713 |
| 0.0042 | 0.97 | 1400 | 0.0752 | 0.9828 |
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 15, 2024
- Updated
- May 15, 2024