Model save
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- model.safetensors +1 -1
README.md
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---
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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-category-classification
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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-category-classification
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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: 2.4982
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- Accuracy: 0.2980
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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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: 10
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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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| No log | 0.8 | 3 | 3.0078 | 0.0552 |
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| No log | 1.8667 | 7 | 2.8865 | 0.1280 |
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| 2.9474 | 2.9333 | 11 | 2.7918 | 0.1965 |
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| 2.9474 | 4.0 | 15 | 2.6941 | 0.2362 |
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| 2.9474 | 4.8 | 18 | 2.6282 | 0.2583 |
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| 2.645 | 5.8667 | 22 | 2.5581 | 0.2826 |
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| 2.645 | 6.9333 | 26 | 2.5151 | 0.3002 |
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| 2.4321 | 8.0 | 30 | 2.4982 | 0.2980 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 1.13.1+cu117
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 110398208
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version https://git-lfs.github.com/spec/v1
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size 110398208
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