Model save
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: microsoft/swinv2-tiny-patch4-window8-256
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: swinv2-tiny-patch4-window8-256-dmae-humeda-DAV36
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# swinv2-tiny-patch4-window8-256-dmae-humeda-DAV36
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This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6972
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- Accuracy: 0.68
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 3.214 | 1.0 | 22 | 1.4507 | 0.46 |
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| 2.298 | 2.0 | 44 | 1.0632 | 0.62 |
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| 0.9579 | 3.0 | 66 | 1.1191 | 0.64 |
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| 0.4479 | 4.0 | 88 | 0.9825 | 0.6467 |
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| 0.1963 | 5.0 | 110 | 1.2844 | 0.6467 |
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| 0.1663 | 6.0 | 132 | 1.2373 | 0.6667 |
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| 0.1188 | 7.0 | 154 | 1.4338 | 0.6933 |
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| 0.0526 | 8.0 | 176 | 1.6726 | 0.7133 |
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| 0.01 | 9.0 | 198 | 2.5248 | 0.6267 |
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| 0.028 | 10.0 | 220 | 2.6156 | 0.6467 |
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| 0.0296 | 11.0 | 242 | 2.8334 | 0.6533 |
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| 0.0074 | 12.0 | 264 | 2.2200 | 0.6867 |
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| 0.0022 | 13.0 | 286 | 2.2802 | 0.7467 |
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| 0.0225 | 14.0 | 308 | 2.1764 | 0.6933 |
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| 0.0058 | 15.0 | 330 | 3.0594 | 0.62 |
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| 0.0075 | 16.0 | 352 | 3.2166 | 0.6333 |
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| 0.0163 | 17.0 | 374 | 2.4014 | 0.6933 |
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| 0.0033 | 18.0 | 396 | 2.9112 | 0.6733 |
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| 0.0036 | 19.0 | 418 | 2.8147 | 0.6533 |
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| 0.0033 | 20.0 | 440 | 2.7731 | 0.6733 |
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| 0.0161 | 21.0 | 462 | 2.0340 | 0.7467 |
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| 0.0012 | 22.0 | 484 | 2.4596 | 0.6867 |
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| 0.0009 | 23.0 | 506 | 2.7352 | 0.6667 |
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| 0.0101 | 24.0 | 528 | 2.8204 | 0.6667 |
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| 0.0011 | 25.0 | 550 | 2.8091 | 0.6733 |
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| 0.0005 | 26.0 | 572 | 2.8126 | 0.6667 |
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| 0.0007 | 27.0 | 594 | 2.7742 | 0.6733 |
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| 0.0004 | 28.0 | 616 | 2.7208 | 0.6733 |
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| 0.0025 | 29.0 | 638 | 2.7022 | 0.6733 |
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| 0.0025 | 30.0 | 660 | 2.6972 | 0.68 |
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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size 110359372
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runs/Jan29_08-12-33_eaff62e1ff5e/events.out.tfevents.1738138363.eaff62e1ff5e.409.0
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size
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size 27296
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