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swinv2-tiny-patch4-window8-256-DMAE-U3
Augusto777/swinv2-tiny-patch4-window8-256-DMAE-U3
swinv2-tiny-patch4-window8-256-DMAE-U3 is a machine learning model from Augusto777. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- swinv2
- Access
- Public
- Created
- Dec 3, 2024
- Updated
- Dec 3, 2024
- SHA
- 21cffc2c
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. -->
swinv2-tiny-patch4-window8-256-DMAE-U3
This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.7136
- Accuracy: 0.4565
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: 5.5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.86 | 3 | 7.9328 | 0.1087 |
| No log | 2.0 | 7 | 7.7596 | 0.1087 |
| 7.8559 | 2.86 | 10 | 7.3241 | 0.1087 |
| 7.8559 | 4.0 | 14 | 6.4450 | 0.1087 |
| 7.8559 | 4.86 | 17 | 5.7723 | 0.1087 |
| 6.3363 | 6.0 | 21 | 4.8772 | 0.1087 |
| 6.3363 | 6.86 | 24 | 4.2678 | 0.1087 |
| 6.3363 | 8.0 | 28 | 3.5000 | 0.1087 |
| 4.1887 | 8.86 | 31 | 2.9766 | 0.1087 |
| 4.1887 | 10.0 | 35 | 2.3876 | 0.1087 |
| 4.1887 | 10.86 | 38 | 2.0429 | 0.1087 |
| 2.602 | 12.0 | 42 | 1.7136 | 0.4565 |
| 2.602 | 12.86 | 45 | 1.5478 | 0.4565 |
| 2.602 | 14.0 | 49 | 1.3874 | 0.4565 |
| 1.6353 | 14.86 | 52 | 1.2968 | 0.4565 |
| 1.6353 | 16.0 | 56 | 1.2225 | 0.4565 |
| 1.6353 | 16.86 | 59 | 1.2071 | 0.4565 |
| 1.2533 | 18.0 | 63 | 1.2177 | 0.3261 |
| 1.2533 | 18.86 | 66 | 1.2197 | 0.3261 |
| 1.2088 | 20.0 | 70 | 1.2112 | 0.4565 |
| 1.2088 | 20.86 | 73 | 1.2101 | 0.4565 |
| 1.2088 | 22.0 | 77 | 1.2092 | 0.4565 |
| 1.1798 | 22.86 | 80 | 1.2081 | 0.4565 |
| 1.1798 | 24.0 | 84 | 1.2076 | 0.4565 |
| 1.1798 | 24.86 | 87 | 1.2049 | 0.4565 |
| 1.1825 | 26.0 | 91 | 1.2045 | 0.4565 |
| 1.1825 | 26.86 | 94 | 1.2029 | 0.4565 |
| 1.1825 | 28.0 | 98 | 1.2022 | 0.4565 |
| 1.1943 | 28.86 | 101 | 1.2014 | 0.4565 |
| 1.1943 | 30.0 | 105 | 1.2040 | 0.4565 |
| 1.1943 | 30.86 | 108 | 1.2050 | 0.4565 |
| 1.1772 | 32.0 | 112 | 1.2031 | 0.4565 |
| 1.1772 | 32.86 | 115 | 1.2019 | 0.4565 |
| 1.1772 | 34.0 | 119 | 1.2013 | 0.4565 |
| 1.1945 | 34.29 | 120 | 1.2012 | 0.4565 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
- Type
- swinv2
- License
- apache-2.0
- Created
- Dec 3, 2024
- Updated
- Dec 3, 2024