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2024_08_15_swinv2-base-patch4-window8-256
jayanthspratap/2024_08_15_swinv2-base-patch4-window8-256
2024_08_15_swinv2-base-patch4-window8-256 is a machine learning model from jayanthspratap. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- swinv2
- Access
- Public
- Created
- Aug 16, 2024
- Updated
- Aug 16, 2024
- SHA
- 1fb5e233
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. -->
2024_08_15_swinv2-base-patch4-window8-256
This model was trained from scratch on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.4972
- Accuracy: 0.8182
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4908 | 1.0 | 87 | 0.4882 | 0.7955 |
| 1.0014 | 2.0 | 174 | 0.4972 | 0.8182 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- swinv2
- Created
- Aug 16, 2024
- Updated
- Aug 16, 2024