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histo_train_resnet
tcvrishank/histo_train_resnet
histo_train_resnet is a image classification model from tcvrishank. 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
- resnet
- Access
- Public
- Created
- Apr 14, 2023
- Updated
- Apr 14, 2023
- SHA
- 6082b00d
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. -->
histo_train_resnet
This model is a fine-tuned version of microsoft/resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.2257
- Accuracy: 0.375
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: 0.001
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2218 | 1.67 | 10 | 1.3308 | 0.475 |
| 1.1647 | 3.33 | 20 | 1.1842 | 0.525 |
| 1.132 | 5.0 | 30 | 1.1902 | 0.5 |
| 1.1372 | 6.67 | 40 | 1.1355 | 0.5 |
| 1.1006 | 8.33 | 50 | 1.0911 | 0.45 |
| 1.0876 | 10.0 | 60 | 1.2257 | 0.375 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- resnet
- License
- apache-2.0
- Created
- Apr 14, 2023
- Updated
- Apr 14, 2023