Model save
Browse files- README.md +70 -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-1.4K
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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-1.4K
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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: 0.1231
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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 |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 0.84 | 4 | 0.5903 |
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| No log | 1.89 | 9 | 0.3203 |
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| 0.5582 | 2.95 | 14 | 0.2520 |
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| 0.5582 | 4.0 | 19 | 0.0906 |
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| 0.1094 | 4.84 | 23 | 0.0549 |
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| 0.1094 | 5.89 | 28 | 0.1439 |
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| 0.0533 | 6.95 | 33 | 0.0675 |
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| 0.0533 | 8.0 | 38 | 0.1214 |
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| 0.0144 | 8.42 | 40 | 0.1231 |
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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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-
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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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