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embunna
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resnet-18

Image Classification
Transformers
TensorBoard
Safetensors
resnet
Generated from Trainer
Eval Results (legacy)
Model card Files
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 Metrics Community
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  1. README.md +8 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.3958333333333333
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2853997620560357538714861174784.0000
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- - Accuracy: 0.3958
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  ## Model description
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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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- | No log | 0.8889 | 6 | 2853997620560357538714861174784.0000 | 0.3958 |
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- | 3195940475249625978836740997120.0000 | 1.9259 | 13 | 2853997620560357538714861174784.0000 | 0.3958 |
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- | 3195940475249625978836740997120.0000 | 2.6667 | 18 | 2853997620560357538714861174784.0000 | 0.3958 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.2857142857142857
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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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  This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 11425938732811038938338101821440.0000
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+ - Accuracy: 0.2857
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  ## Model description
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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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+ | No log | 0.9091 | 5 | 11425938732811038938338101821440.0000 | 0.2857 |
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+ | 10876880651531499783855888400384.0000 | 2.0 | 11 | 11425938732811038938338101821440.0000 | 0.2857 |
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+ | 10876880651531499783855888400384.0000 | 2.7273 | 15 | 11425938732811038938338101821440.0000 | 0.2857 |
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  ### Framework versions
model.safetensors CHANGED
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