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image_classification_resnet

Image Classification
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resnet
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  1. README.md +7 -16
  2. config.json +0 -0
  3. logs/train/events.out.tfevents.1703530830.fv-az520-878.1918.0.v2 +3 -0
  4. logs/validation/events.out.tfevents.1703532393.fv-az520-878.1918.1.v2 +3 -0
  5. tf_model.h5 +2 -2
README.md CHANGED
@@ -13,12 +13,12 @@ probably proofread and complete it, then remove this comment. -->
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  # SaladSlayer00/image_classification_resnet
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- This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on a dataset of celebrity faces, to spot your celebrity lookalike.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.4607
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- - Validation Loss: 0.8689
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- - Validation Accuracy: 0.7745
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- - Epoch: 9
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  ## Model description
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  | Train Loss | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:---------------:|:-------------------:|:-----:|
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- | 3.4925 | 3.0825 | 0.2895 | 0 |
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- | 2.7789 | 2.4806 | 0.4198 | 1 |
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- | 2.2048 | 2.0283 | 0.5190 | 2 |
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- | 1.7291 | 1.6844 | 0.5952 | 3 |
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- | 1.3619 | 1.4097 | 0.6563 | 4 |
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- | 1.0810 | 1.2327 | 0.7013 | 5 |
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- | 0.8729 | 1.0982 | 0.7249 | 6 |
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- | 0.7030 | 0.9922 | 0.7416 | 7 |
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- | 0.5581 | 0.9223 | 0.7612 | 8 |
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- | 0.4607 | 0.8689 | 0.7745 | 9 |
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  ### Framework versions
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- - Transformers 4.35.2
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  - TensorFlow 2.15.0
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  - Datasets 2.16.0
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  - Tokenizers 0.15.0
 
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  # SaladSlayer00/image_classification_resnet
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+ This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 7.0852
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+ - Validation Loss: 4.8518
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+ - Validation Accuracy: 0.0123
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:---------------:|:-------------------:|:-----:|
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+ | 7.0852 | 4.8518 | 0.0123 | 0 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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+ - Transformers 4.36.2
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  - TensorFlow 2.15.0
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  - Datasets 2.16.0
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  - Tokenizers 0.15.0
config.json CHANGED
The diff for this file is too large to render. See raw diff
 
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