Model save
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- model.safetensors +1 -1
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/swin-tiny-patch4-window7-224
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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: swin-ena24
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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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# swin-ena24
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1460
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- Accuracy: 0.9695
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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: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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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: linear
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- num_epochs: 2
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- mixed_precision_training: Native AMP
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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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| 1.679 | 0.1302 | 100 | 1.2075 | 0.6573 |
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| 0.9674 | 0.2604 | 200 | 0.7625 | 0.7809 |
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| 0.8194 | 0.3906 | 300 | 0.7240 | 0.7931 |
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| 0.5756 | 0.5208 | 400 | 0.6613 | 0.8023 |
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| 0.5796 | 0.6510 | 500 | 0.3928 | 0.8947 |
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| 0.5275 | 0.7812 | 600 | 0.4274 | 0.8863 |
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| 0.1931 | 0.9115 | 700 | 0.4006 | 0.8908 |
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| 0.254 | 1.0417 | 800 | 0.2949 | 0.9237 |
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| 0.1321 | 1.1719 | 900 | 0.2565 | 0.9420 |
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| 0.1888 | 1.3021 | 1000 | 0.2155 | 0.9466 |
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| 0.0558 | 1.4323 | 1100 | 0.2289 | 0.9420 |
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| 0.0824 | 1.5625 | 1200 | 0.1732 | 0.9634 |
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| 0.1455 | 1.6927 | 1300 | 0.1689 | 0.9649 |
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| 0.1453 | 1.8229 | 1400 | 0.1596 | 0.9672 |
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| 0.0403 | 1.9531 | 1500 | 0.1460 | 0.9695 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.5.0
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- Tokenizers 0.21.0
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 110404360
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version https://git-lfs.github.com/spec/v1
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oid sha256:c60b30293564a22f6feb6f44a3f4b44b00eff8e466b3f5af7ceabb3dd6bdf397
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size 110404360
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