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NiharGupte
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resnet-50-finetuned-student_kaggle

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  1. README.md +9 -24
  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: 1.0
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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-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0012
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- - Accuracy: 1.0
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  ## Model description
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@@ -59,32 +59,17 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 20
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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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- | 0.7142 | 1.0 | 47 | 0.6418 | 0.6101 |
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- | 0.3351 | 2.0 | 94 | 0.2597 | 0.8947 |
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- | 0.2574 | 3.0 | 141 | 0.1046 | 0.9780 |
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- | 0.1479 | 4.0 | 188 | 0.0616 | 0.9874 |
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- | 0.1284 | 5.0 | 235 | 0.0232 | 0.9953 |
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- | 0.077 | 6.0 | 282 | 0.0150 | 0.9953 |
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- | 0.103 | 7.0 | 329 | 0.0105 | 0.9984 |
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- | 0.0922 | 8.0 | 376 | 0.0094 | 0.9984 |
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- | 0.08 | 9.0 | 423 | 0.0056 | 1.0 |
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- | 0.0492 | 10.0 | 470 | 0.0045 | 1.0 |
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- | 0.0574 | 11.0 | 517 | 0.0043 | 1.0 |
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- | 0.0382 | 12.0 | 564 | 0.0023 | 1.0 |
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- | 0.0666 | 13.0 | 611 | 0.0022 | 1.0 |
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- | 0.0477 | 14.0 | 658 | 0.0022 | 1.0 |
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- | 0.0614 | 15.0 | 705 | 0.0023 | 1.0 |
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- | 0.0282 | 16.0 | 752 | 0.0014 | 1.0 |
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- | 0.0659 | 17.0 | 799 | 0.0016 | 1.0 |
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- | 0.0586 | 18.0 | 846 | 0.0010 | 1.0 |
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- | 0.0557 | 19.0 | 893 | 0.0013 | 1.0 |
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- | 0.07 | 20.0 | 940 | 0.0012 | 1.0 |
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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: 0.4889937106918239
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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-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder 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: 0.4890
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 5
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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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+ | 0.0 | 1.0 | 47 | nan | 0.4890 |
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+ | 0.0 | 2.0 | 94 | nan | 0.4890 |
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+ | 0.0 | 3.0 | 141 | nan | 0.4890 |
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+ | 0.0 | 4.0 | 188 | nan | 0.4890 |
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+ | 0.0 | 5.0 | 235 | nan | 0.4890 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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