Model save
Browse files- README.md +87 -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-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: spa_images_classifier_jd_v1_convnext
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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: 0.9777571825764597
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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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# spa_images_classifier_jd_v1_convnext
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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: 0.0652
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- Accuracy: 0.9778
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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: 10
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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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| 0.2494 | 1.0 | 227 | 0.1194 | 0.9555 |
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| 0.2333 | 2.0 | 455 | 0.1008 | 0.9635 |
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| 0.1977 | 3.0 | 683 | 0.0855 | 0.9703 |
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| 0.1405 | 4.0 | 911 | 0.0792 | 0.9744 |
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| 0.1575 | 5.0 | 1138 | 0.0734 | 0.9731 |
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| 0.0948 | 6.0 | 1366 | 0.0666 | 0.9778 |
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| 0.1049 | 7.0 | 1594 | 0.0662 | 0.9781 |
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| 0.0928 | 8.0 | 1822 | 0.0693 | 0.9774 |
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| 0.0903 | 9.0 | 2049 | 0.0704 | 0.9771 |
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| 0.0759 | 9.97 | 2270 | 0.0652 | 0.9778 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 1.12.1+cu113
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- Datasets 2.17.1
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- Tokenizers 0.14.1
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 110348984
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3a04235b8f921f2e5c3a4f45180d05e3570bbf5381799b759b396f447d4ecaa
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size 110348984
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