Model save
Browse files- README.md +81 -0
- 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-tiny-patch4-window7-224_alpha0.5_temp5.0
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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-tiny-patch4-window7-224_alpha0.5_temp5.0
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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: 0.5932
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- Accuracy: 0.7964
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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: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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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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| 1.2082 | 1.0 | 90 | 1.4079 | 0.2668 |
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| 1.0779 | 2.0 | 180 | 1.2162 | 0.4377 |
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| 0.8302 | 3.0 | 270 | 0.9251 | 0.6166 |
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| 0.628 | 4.0 | 360 | 0.7442 | 0.7144 |
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| 0.4817 | 5.0 | 450 | 0.6761 | 0.7540 |
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| 0.378 | 6.0 | 540 | 0.7098 | 0.7559 |
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| 0.3129 | 7.0 | 630 | 0.6408 | 0.7737 |
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| 0.2627 | 8.0 | 720 | 0.6368 | 0.7806 |
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| 0.2458 | 9.0 | 810 | 0.6722 | 0.7698 |
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| 0.2303 | 10.0 | 900 | 0.6332 | 0.7806 |
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| 0.2018 | 11.0 | 990 | 0.6203 | 0.7885 |
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| 0.1942 | 12.0 | 1080 | 0.6081 | 0.7885 |
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| 0.1831 | 13.0 | 1170 | 0.6041 | 0.7905 |
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| 0.1827 | 14.0 | 1260 | 0.6043 | 0.7895 |
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| 0.1825 | 15.0 | 1350 | 0.5913 | 0.7974 |
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| 0.1727 | 16.0 | 1440 | 0.6064 | 0.7974 |
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| 0.1701 | 17.0 | 1530 | 0.6057 | 0.8034 |
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| 0.1595 | 18.0 | 1620 | 0.5969 | 0.7925 |
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| 0.1616 | 19.0 | 1710 | 0.5923 | 0.7964 |
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| 0.1594 | 20.0 | 1800 | 0.5932 | 0.7964 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.5.0+cu124
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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model.safetensors
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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 123211024
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version https://git-lfs.github.com/spec/v1
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oid sha256:70b9eea99f19feea8417ee781b2dbe60f5c1b6cb9566f7f6a46ed00b8505e6c0
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size 123211024
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