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histo_train_segformer
tcvrishank/histo_train_segformer
histo_train_segformer 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 other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- other
- Model type
- segformer
- Access
- Public
- Created
- Mar 25, 2023
- Updated
- Mar 27, 2023
- SHA
- 234de354
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_segformer
This model is a fine-tuned version of nvidia/mit-b0 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.3830
- Accuracy: 0.875
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: 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2234 | 16.67 | 100 | 0.3830 | 0.875 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Image Classification
- Library
- transformers
- Type
- segformer
- License
- other
- Created
- Mar 25, 2023
- Updated
- Mar 27, 2023