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2024_08_16_swinv2-base-patch4-window8-256
jayanthspratap/2024_08_16_swinv2-base-patch4-window8-256
2024_08_16_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
- 93b13380
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_16_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: 0.4529
- Accuracy: 0.8068
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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6942 | 1.0 | 87 | 0.6796 | 0.6818 |
| 0.6661 | 2.0 | 174 | 0.5973 | 0.7045 |
| 0.5666 | 3.0 | 261 | 0.5844 | 0.7045 |
| 0.6134 | 4.0 | 348 | 0.5798 | 0.7045 |
| 0.5207 | 5.0 | 435 | 0.5817 | 0.6932 |
| 0.75 | 6.0 | 522 | 0.5488 | 0.7159 |
| 0.4155 | 7.0 | 609 | 0.5373 | 0.7045 |
| 0.5122 | 8.0 | 696 | 0.5057 | 0.7386 |
| 0.722 | 9.0 | 783 | 0.4951 | 0.7045 |
| 0.5301 | 10.0 | 870 | 0.5349 | 0.7727 |
| 0.5881 | 11.0 | 957 | 0.4795 | 0.7955 |
| 0.5295 | 12.0 | 1044 | 0.4843 | 0.7955 |
| 0.6252 | 13.0 | 1131 | 0.4529 | 0.8068 |
| 0.9347 | 14.0 | 1218 | 0.4670 | 0.7955 |
| 0.5375 | 15.0 | 1305 | 0.4468 | 0.8068 |
| 0.4811 | 16.0 | 1392 | 0.4912 | 0.7841 |
| 0.5728 | 17.0 | 1479 | 0.4636 | 0.8068 |
| 0.7997 | 18.0 | 1566 | 0.4631 | 0.8068 |
| 0.4473 | 19.0 | 1653 | 0.4785 | 0.8068 |
| 0.4999 | 20.0 | 1740 | 0.5162 | 0.8068 |
| 0.4572 | 21.0 | 1827 | 0.5742 | 0.7955 |
| 0.2571 | 22.0 | 1914 | 0.5181 | 0.7955 |
| 0.5085 | 23.0 | 2001 | 0.4937 | 0.7955 |
| 0.7698 | 24.0 | 2088 | 0.4764 | 0.7955 |
| 0.558 | 25.0 | 2175 | 0.4742 | 0.8068 |
| 0.5462 | 26.0 | 2262 | 0.5320 | 0.7841 |
| 0.5218 | 27.0 | 2349 | 0.5298 | 0.7841 |
| 0.5228 | 28.0 | 2436 | 0.5182 | 0.7955 |
| 0.5787 | 29.0 | 2523 | 0.5104 | 0.8068 |
| 0.7511 | 30.0 | 2610 | 0.5152 | 0.8068 |
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