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jayanthspratap
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convnext-tiny-224-drfx-surgery-classifier

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convnext
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update model card README.md

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  1. README.md +14 -14
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@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.5625
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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
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6485
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- - Accuracy: 0.5625
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  ## Model description
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@@ -51,7 +51,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-06
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
@@ -66,16 +66,16 @@ 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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- | No log | 1.0 | 4 | 0.6743 | 0.5625 |
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- | No log | 2.0 | 8 | 0.6683 | 0.5625 |
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- | 0.649 | 3.0 | 12 | 0.6634 | 0.5625 |
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- | 0.649 | 4.0 | 16 | 0.6594 | 0.625 |
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- | 0.6178 | 5.0 | 20 | 0.6562 | 0.625 |
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- | 0.6178 | 6.0 | 24 | 0.6535 | 0.625 |
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- | 0.6178 | 7.0 | 28 | 0.6514 | 0.5625 |
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- | 0.6236 | 8.0 | 32 | 0.6499 | 0.5625 |
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- | 0.6236 | 9.0 | 36 | 0.6489 | 0.5625 |
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- | 0.621 | 10.0 | 40 | 0.6485 | 0.5625 |
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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: 0.875
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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 [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6043
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+ - Accuracy: 0.875
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 4 | 0.7140 | 0.375 |
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+ | No log | 2.0 | 8 | 0.6876 | 0.5 |
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+ | 0.7104 | 3.0 | 12 | 0.6666 | 0.625 |
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+ | 0.7104 | 4.0 | 16 | 0.6495 | 0.6875 |
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+ | 0.6567 | 5.0 | 20 | 0.6360 | 0.75 |
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+ | 0.6567 | 6.0 | 24 | 0.6247 | 0.8125 |
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+ | 0.6567 | 7.0 | 28 | 0.6160 | 0.875 |
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+ | 0.6277 | 8.0 | 32 | 0.6098 | 0.875 |
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+ | 0.6277 | 9.0 | 36 | 0.6058 | 0.875 |
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+ | 0.6122 | 10.0 | 40 | 0.6043 | 0.875 |
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  ### Framework versions