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/swinv2-base-patch4-window12-192-22k
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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: pvc-quality-swinv2-base-2
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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: test
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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: 0.5317220543806647
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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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# pvc-quality-swinv2-base-2
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This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2396
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- Accuracy: 0.5317
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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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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| 1.7254 | 0.98 | 39 | 1.4826 | 0.4109 |
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| 1.3316 | 1.99 | 79 | 1.2177 | 0.5136 |
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| 1.0864 | 2.99 | 119 | 1.3006 | 0.4653 |
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| 0.8572 | 4.0 | 159 | 1.2090 | 0.5015 |
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| 0.7466 | 4.98 | 198 | 1.2150 | 0.5378 |
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| 0.5986 | 5.99 | 238 | 1.4600 | 0.4955 |
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| 0.4784 | 6.99 | 278 | 1.4131 | 0.5196 |
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| 0.3525 | 8.0 | 318 | 1.5256 | 0.4985 |
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| 0.3472 | 8.98 | 357 | 1.3883 | 0.5166 |
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| 0.3281 | 9.81 | 390 | 1.5012 | 0.4955 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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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 347665996
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version https://git-lfs.github.com/spec/v1
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oid sha256:ddfb6f06db36c53a7c21e69be529d596fe34b634d30175e66016c2b286bb90a6
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size 347665996
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