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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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datasets: |
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- imagefolder |
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metrics: |
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- f1 |
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model-index: |
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- name: swin-tiny-patch4-window7-224_RCC_Classifierv3 |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: imagefolder |
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type: imagefolder |
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config: default |
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split: validation |
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args: default |
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metrics: |
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- name: F1 |
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type: f1 |
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value: 0.0 |
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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_RCC_Classifierv3 |
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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 the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.6560 |
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- F1: 0.0 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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 | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:---:| |
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| 0.0095 | 1.0 | 118 | 2.6285 | 0.0 | |
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| 0.0038 | 2.0 | 236 | 5.5074 | 0.0 | |
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| 0.0001 | 3.0 | 354 | 5.7253 | 0.0 | |
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| 0.0111 | 4.0 | 472 | 6.6322 | 0.0 | |
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| 0.003 | 5.0 | 590 | 7.3159 | 0.0 | |
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| 0.0002 | 6.0 | 708 | 7.8263 | 0.0 | |
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| 0.0112 | 7.0 | 826 | 7.8469 | 0.0 | |
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| 0.0021 | 8.0 | 944 | 7.4348 | 0.0 | |
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| 0.0 | 9.0 | 1062 | 7.6901 | 0.0 | |
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| 0.0002 | 10.0 | 1180 | 7.6560 | 0.0 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 1.12.1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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