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resnet-101-finetuned-CivilEng11k

Image Classification
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  1. README.md +14 -15
  2. model.safetensors +1 -1
  3. runs/Mar10_00-45-05_f2dfbab62cd5/events.out.tfevents.1710031507.f2dfbab62cd5.3507.0 +2 -2
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/resnet-101](https://huggingface.co/microsoft/resnet-101) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3590
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- - Accuracy: 0.8716
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  ## Model description
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@@ -52,21 +52,20 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 2.4679 | 0.98 | 25 | 1.9449 | 0.5368 |
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- | 1.2247 | 2.0 | 51 | 1.1001 | 0.6799 |
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- | 0.8434 | 2.98 | 76 | 0.5851 | 0.7887 |
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- | 0.491 | 4.0 | 102 | 0.4335 | 0.8338 |
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- | 0.4512 | 4.98 | 127 | 0.4010 | 0.8402 |
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- | 0.3891 | 6.0 | 153 | 0.3817 | 0.8544 |
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- | 0.3533 | 6.98 | 178 | 0.3680 | 0.8603 |
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- | 0.3407 | 8.0 | 204 | 0.3590 | 0.8716 |
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- | 0.3244 | 8.98 | 229 | 0.3606 | 0.8662 |
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- | 0.3258 | 9.8 | 250 | 0.3549 | 0.8691 |
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  ### Framework versions
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- - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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- - Datasets 2.16.1
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- - Tokenizers 0.15.1
 
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  This model is a fine-tuned version of [microsoft/resnet-101](https://huggingface.co/microsoft/resnet-101) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: nan
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+ - Accuracy: 0.0
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.81 | 3 | nan | 0.0 |
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+ | No log | 1.89 | 7 | nan | 0.0 |
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+ | 0.0 | 2.97 | 11 | nan | 0.0 |
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+ | 0.0 | 3.78 | 14 | nan | 0.0 |
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+ | 0.0 | 4.86 | 18 | nan | 0.0 |
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+ | 0.0 | 5.95 | 22 | nan | 0.0 |
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+ | 0.0 | 6.76 | 25 | nan | 0.0 |
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+ | 0.0 | 7.84 | 29 | nan | 0.0 |
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+ | 0.0 | 8.11 | 30 | nan | 0.0 |
 
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  ### Framework versions
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+ - Transformers 4.38.2
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  - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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