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/swin-base-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-base-patch4-window7-224_11092024
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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-base-patch4-window7-224_11092024
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This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-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: 0.5135
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- Accuracy: 0.8337
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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: 0.0003
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- train_batch_size: 16
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- eval_batch_size: 8
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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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- 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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| 1.0366 | 1.0 | 400 | 0.9471 | 0.72 |
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| 0.8257 | 2.0 | 800 | 0.7889 | 0.7538 |
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| 0.7119 | 3.0 | 1200 | 0.7232 | 0.7775 |
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| 0.6969 | 4.0 | 1600 | 0.6739 | 0.7837 |
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| 0.6487 | 5.0 | 2000 | 0.6371 | 0.7863 |
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| 0.5956 | 6.0 | 2400 | 0.6198 | 0.7887 |
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| 0.5604 | 7.0 | 2800 | 0.5941 | 0.8025 |
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| 0.5732 | 8.0 | 3200 | 0.5867 | 0.795 |
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| 0.5578 | 9.0 | 3600 | 0.5705 | 0.8025 |
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| 0.5449 | 10.0 | 4000 | 0.5575 | 0.8113 |
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| 0.5419 | 11.0 | 4400 | 0.5505 | 0.8213 |
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| 0.5086 | 12.0 | 4800 | 0.5385 | 0.8213 |
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| 0.4929 | 13.0 | 5200 | 0.5340 | 0.8213 |
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| 0.4701 | 14.0 | 5600 | 0.5297 | 0.8187 |
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| 0.4803 | 15.0 | 6000 | 0.5240 | 0.8225 |
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| 0.4988 | 16.0 | 6400 | 0.5197 | 0.83 |
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| 0.4842 | 17.0 | 6800 | 0.5165 | 0.8313 |
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| 0.4917 | 18.0 | 7200 | 0.5148 | 0.8313 |
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| 0.4734 | 19.0 | 7600 | 0.5140 | 0.8325 |
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| 0.4714 | 20.0 | 8000 | 0.5135 | 0.8337 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.4.1+cpu
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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logs/events.out.tfevents.1731121933.Soda.14188.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf9a6c710e99ec4b75884d72d3ebedfb55a14d21d49158167912a94c8121bfc4
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size 29430
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