Model save
Browse files- README.md +66 -0
- 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-base-patch4-window7-224-in22k
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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model-index:
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- name: swin-base-patch4-window7-224-in22k-Kontur-competition-1.3K
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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-in22k-Kontur-competition-1.3K
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This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0865
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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: 48
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- eval_batch_size: 48
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 192
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 0.96 | 6 | 0.3283 |
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| 0.4531 | 1.92 | 12 | 0.0809 |
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| 0.4531 | 2.88 | 18 | 0.0301 |
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| 0.069 | 4.0 | 25 | 0.1202 |
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| 0.0364 | 4.8 | 30 | 0.0865 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 347498816
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version https://git-lfs.github.com/spec/v1
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size 347498816
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