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Model save
Browse files- README.md +110 -0
- pytorch_model.bin +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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datasets:
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- imagefolder
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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-finetuned-herbify
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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: train
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 1.0
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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-finetuned-herbify
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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: 0.0004
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- Accuracy: 1.0
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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: 35
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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 | 0.94 | 4 | 1.8723 | 0.2787 |
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| No log | 1.88 | 8 | 1.5899 | 0.6885 |
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| 1.8465 | 2.82 | 12 | 1.1661 | 0.8197 |
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| 1.8465 | 4.0 | 17 | 0.5156 | 0.9508 |
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| 0.9675 | 4.94 | 21 | 0.2177 | 0.9836 |
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| 0.9675 | 5.88 | 25 | 0.0929 | 0.9836 |
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| 0.9675 | 6.82 | 29 | 0.0378 | 1.0 |
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| 0.2342 | 8.0 | 34 | 0.0128 | 1.0 |
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| 0.2342 | 8.94 | 38 | 0.0075 | 1.0 |
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| 0.1022 | 9.88 | 42 | 0.0053 | 1.0 |
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| 0.1022 | 10.82 | 46 | 0.0049 | 1.0 |
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| 0.0553 | 12.0 | 51 | 0.0032 | 1.0 |
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| 0.0553 | 12.94 | 55 | 0.0022 | 1.0 |
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| 0.0553 | 13.88 | 59 | 0.0017 | 1.0 |
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| 0.0278 | 14.82 | 63 | 0.0018 | 1.0 |
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| 0.0278 | 16.0 | 68 | 0.0012 | 1.0 |
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| 0.0266 | 16.94 | 72 | 0.0011 | 1.0 |
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| 0.0266 | 17.88 | 76 | 0.0006 | 1.0 |
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| 0.046 | 18.82 | 80 | 0.0007 | 1.0 |
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| 0.046 | 20.0 | 85 | 0.0007 | 1.0 |
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| 0.046 | 20.94 | 89 | 0.0012 | 1.0 |
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| 0.0245 | 21.88 | 93 | 0.0015 | 1.0 |
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| 0.0245 | 22.82 | 97 | 0.0011 | 1.0 |
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| 0.0249 | 24.0 | 102 | 0.0007 | 1.0 |
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| 0.0249 | 24.94 | 106 | 0.0006 | 1.0 |
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| 0.0201 | 25.88 | 110 | 0.0005 | 1.0 |
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| 0.0201 | 26.82 | 114 | 0.0005 | 1.0 |
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| 0.0201 | 28.0 | 119 | 0.0004 | 1.0 |
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| 0.0208 | 28.94 | 123 | 0.0004 | 1.0 |
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| 0.0208 | 29.88 | 127 | 0.0004 | 1.0 |
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| 0.0122 | 30.82 | 131 | 0.0004 | 1.0 |
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| 0.0122 | 32.0 | 136 | 0.0004 | 1.0 |
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| 0.0222 | 32.94 | 140 | 0.0004 | 1.0 |
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### Framework versions
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- Transformers 4.33.2
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- Pytorch 2.0.1+cpu
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 110406961
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa71e3976372bc352cb39a6cc0a86b336d7b830ffb5c14d5cc9a3749953464f0
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size 110406961
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