update model card README.md
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README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: Train
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results: []
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# Train
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This model is a fine-tuned version of [microsoft/resnet-101](https://huggingface.co/microsoft/resnet-101) on
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Framework versions
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- Transformers 4.30.1
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: Train
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results: []
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# Train
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This model is a fine-tuned version of [microsoft/resnet-101](https://huggingface.co/microsoft/resnet-101) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8217
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- Accuracy: 0.3872
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 2
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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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| 3.1529 | 0.13 | 100 | 3.2116 | 0.0590 |
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| 3.1644 | 0.26 | 200 | 3.2096 | 0.0692 |
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| 3.1549 | 0.39 | 300 | 3.1986 | 0.0692 |
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| 3.2998 | 0.51 | 400 | 3.1968 | 0.1077 |
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| 3.1344 | 0.64 | 500 | 3.1667 | 0.1718 |
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| 3.3638 | 0.77 | 600 | 3.1384 | 0.1744 |
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| 3.1482 | 0.9 | 700 | 3.0966 | 0.2026 |
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| 3.1366 | 1.03 | 800 | 3.0484 | 0.1897 |
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| 3.0206 | 1.16 | 900 | 3.0164 | 0.3026 |
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| 2.921 | 1.29 | 1000 | 2.9846 | 0.3231 |
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| 3.0027 | 1.41 | 1100 | 2.9338 | 0.3359 |
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| 2.9047 | 1.54 | 1200 | 2.8917 | 0.3462 |
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| 2.8579 | 1.67 | 1300 | 2.8616 | 0.4026 |
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| 2.988 | 1.8 | 1400 | 2.7832 | 0.4077 |
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| 2.8553 | 1.93 | 1500 | 2.8217 | 0.3872 |
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### Framework versions
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- Transformers 4.30.1
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