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README.md
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- name: Accuracy
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type: accuracy
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value: 0.391304347826087
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widget:
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- src:
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example_title: image1.jpg
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- src:
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example_title: image2.jpg
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- src:
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example_title: image3.jpg
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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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## 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-
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 5 | 1.
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| 1.9354 | 2.0 | 10 | 1.
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| 1.9354 | 3.0 | 15 | 1.
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### Framework versions
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- name: Accuracy
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type: accuracy
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value: 0.391304347826087
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widget:
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- src: >-
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https://huggingface.co/DamarJati/plastic-recycling-codes/resolve/main/example/image1.jpg
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example_title: image1.jpg
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- src: >-
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https://huggingface.co/DamarJati/plastic-recycling-codes/resolve/main/example/image2.jpg
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example_title: image2.jpg
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- src: >-
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https://huggingface.co/DamarJati/plastic-recycling-codes/resolve/main/example/image3.jpg
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example_title: image3.jpg
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language:
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- en
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pipeline_tag: image-classification
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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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## Training procedure
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More information needed
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-5
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 5 | 1.847501 | 0.260870 |
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| 1.9354 | 2.0 | 10 | 1.729485 | 0.333333 |
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| 1.9354 | 3.0 | 15 | 1.681863 | 0.391304 |
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### Framework versions
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