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resnet-50-base-beans-demo
eugenecamus/resnet-50-base-beans-demo
resnet-50-base-beans-demo is a image classification model from eugenecamus. Use it when you need a label for an image. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- Model type
- resnet
- Access
- Public
- Created
- May 27, 2022
- Updated
- May 31, 2022
- SHA
- 0fbcde2f
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. -->
resnet-50-base-beans-demo
This model is a fine-tuned version of microsoft/resnet-50 on the beans dataset. It achieves the following results on the evaluation set:
- Loss: 0.2188
- Accuracy: 0.9023
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: 0.002
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5679 | 1.0 | 130 | 0.2188 | 0.9023 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1
- Task
- Image Classification
- Library
- transformers
- Type
- resnet
- Created
- May 27, 2022
- Updated
- May 31, 2022