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elpv-vit
mjphayes/elpv-vit
elpv-vit is a image classification model from mjphayes. 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
- Nov 15, 2023
- Updated
- Nov 16, 2023
- SHA
- 52b3af73
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. -->
elpv-vit
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7687
- Accuracy: 0.7259
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 14
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 69 | 1.1146 | 0.5787 |
| No log | 2.0 | 138 | 0.9812 | 0.5787 |
| No log | 3.0 | 207 | 0.8885 | 0.6472 |
| No log | 4.0 | 276 | 0.7930 | 0.7081 |
| No log | 5.0 | 345 | 0.8019 | 0.6929 |
| No log | 6.0 | 414 | 0.8009 | 0.6878 |
| No log | 7.0 | 483 | 0.7984 | 0.6853 |
| 0.8194 | 8.0 | 552 | 0.7714 | 0.7107 |
| 0.8194 | 9.0 | 621 | 0.7667 | 0.7081 |
| 0.8194 | 10.0 | 690 | 0.7303 | 0.7234 |
| 0.8194 | 11.0 | 759 | 0.7321 | 0.7284 |
| 0.8194 | 12.0 | 828 | 0.7373 | 0.7335 |
| 0.8194 | 13.0 | 897 | 0.8051 | 0.6904 |
| 0.8194 | 14.0 | 966 | 0.7687 | 0.7259 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Nov 15, 2023
- Updated
- Nov 16, 2023