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Model save

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  1. README.md +12 -4
  2. model.safetensors +1 -1
  3. preprocessor_config.json +33 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -22,10 +22,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) 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: 0.0048
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- - Precision: 0.0014
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- - Recall: 0.0048
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- - F1: 0.0016
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  ## Model description
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@@ -61,6 +61,14 @@ The following hyperparameters were used during training:
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  | 0.0 | 0.012 | 150 | nan | 0.0051 | 0.0024 | 0.0051 | 0.0016 |
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  | 0.0 | 0.024 | 300 | nan | 0.0051 | 0.0017 | 0.0051 | 0.0015 |
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  | 0.0 | 0.036 | 450 | nan | 0.0048 | 0.0014 | 0.0048 | 0.0016 |
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) 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: 0.006
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+ - Precision: 0.0026
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+ - Recall: 0.006
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+ - F1: 0.0019
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  ## Model description
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  | 0.0 | 0.012 | 150 | nan | 0.0051 | 0.0024 | 0.0051 | 0.0016 |
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  | 0.0 | 0.024 | 300 | nan | 0.0051 | 0.0017 | 0.0051 | 0.0015 |
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  | 0.0 | 0.036 | 450 | nan | 0.0048 | 0.0014 | 0.0048 | 0.0016 |
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+ | 0.0 | 0.048 | 600 | nan | 0.0054 | 0.0018 | 0.0054 | 0.0017 |
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+ | 0.0 | 0.06 | 750 | nan | 0.005 | 0.0015 | 0.005 | 0.0017 |
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+ | 0.0 | 0.072 | 900 | nan | 0.0044 | 0.0018 | 0.0044 | 0.0014 |
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+ | 0.0 | 0.084 | 1050 | nan | 0.0057 | 0.0023 | 0.0057 | 0.0017 |
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+ | 0.0 | 0.096 | 1200 | nan | 0.0045 | 0.0024 | 0.0045 | 0.0013 |
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+ | 0.0 | 0.108 | 1350 | nan | 0.005 | 0.0020 | 0.005 | 0.0017 |
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+ | 0.0 | 0.12 | 1500 | nan | 0.0056 | 0.0018 | 0.0056 | 0.0020 |
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+ | 0.0 | 0.132 | 1650 | nan | 0.006 | 0.0026 | 0.006 | 0.0019 |
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  ### Framework versions
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