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resnet_weather_model
sallyanndelucia/resnet_weather_model
resnet_weather_model is a image classification model from sallyanndelucia. 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
- Dec 22, 2022
- Updated
- Dec 22, 2022
- SHA
- d5dffa87
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_weather_model
This model was trained from scratch on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.7452
- Accuracy: 0.6736
- F1: 0.6655
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 2.3598 | 1.0 | 91 | 2.1983 | 0.5165 | 0.5146 |
| 2.0319 | 2.0 | 182 | 1.8708 | 0.6446 | 0.6433 |
| 1.7971 | 3.0 | 273 | 1.7452 | 0.6736 | 0.6655 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Image Classification
- Library
- transformers
- Type
- resnet
- Created
- Dec 22, 2022
- Updated
- Dec 22, 2022