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my__model
sherylshiya/my__model
my__model is a image classification model from sherylshiya. Use it when you need a label for an image. 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
- License
- apache-2.0
- Model type
- resnet
- Access
- Public
- Created
- Sep 3, 2024
- Updated
- Sep 3, 2024
- SHA
- ebcf9787
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. -->
my__model
This model is a fine-tuned version of microsoft/resnet-50 on the imagefolder dataset. with specialised focus on kneeosteoarthritis data. It achieves the following results on the evaluation set:
- Loss: 1.3439
- Accuracy: 0.4419
Model description
model built to refine the classification with specialised focus on kneeosteoarthritis data. for medical data related to similar domains can use the same to finetune further.
Intended uses & limitations
More information needed
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3665 | 1.0 | 104 | 1.3439 | 0.4419 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Type
- resnet
- License
- apache-2.0
- Created
- Sep 3, 2024
- Updated
- Sep 3, 2024