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jayanthspratap
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convnext-tiny-224-drfx-CT-classifier

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update model card README.md

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  1. README.md +12 -17
README.md CHANGED
@@ -31,7 +31,7 @@ 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: 0.6537
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  - Accuracy: 0.7647
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  ## Model description
@@ -60,27 +60,22 @@ 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: 15
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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 | 1.0 | 4 | 0.7084 | 0.5882 |
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- | No log | 2.0 | 8 | 0.7021 | 0.5294 |
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- | 0.6143 | 3.0 | 12 | 0.7024 | 0.4118 |
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- | 0.6143 | 4.0 | 16 | 0.6856 | 0.5294 |
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- | 0.6154 | 5.0 | 20 | 0.6955 | 0.5294 |
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- | 0.6154 | 6.0 | 24 | 0.7119 | 0.5294 |
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- | 0.6154 | 7.0 | 28 | 0.7086 | 0.5882 |
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- | 0.5786 | 8.0 | 32 | 0.6967 | 0.5882 |
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- | 0.5786 | 9.0 | 36 | 0.6773 | 0.6471 |
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- | 0.5026 | 10.0 | 40 | 0.6537 | 0.7647 |
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- | 0.5026 | 11.0 | 44 | 0.6439 | 0.7647 |
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- | 0.5026 | 12.0 | 48 | 0.6390 | 0.7647 |
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- | 0.5086 | 13.0 | 52 | 0.6434 | 0.7647 |
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- | 0.5086 | 14.0 | 56 | 0.6425 | 0.7647 |
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- | 0.448 | 15.0 | 60 | 0.6452 | 0.7647 |
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  ### Framework versions
 
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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: 0.6255
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  - Accuracy: 0.7647
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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: 10
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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 | 1.0 | 4 | 0.6600 | 0.7647 |
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+ | No log | 2.0 | 8 | 0.7135 | 0.5882 |
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+ | 0.4055 | 3.0 | 12 | 0.6851 | 0.6471 |
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+ | 0.4055 | 4.0 | 16 | 0.6512 | 0.6471 |
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+ | 0.3895 | 5.0 | 20 | 0.7131 | 0.6471 |
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+ | 0.3895 | 6.0 | 24 | 0.7158 | 0.6471 |
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+ | 0.3895 | 7.0 | 28 | 0.6533 | 0.7647 |
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+ | 0.363 | 8.0 | 32 | 0.6211 | 0.7059 |
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+ | 0.363 | 9.0 | 36 | 0.6222 | 0.7647 |
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+ | 0.3207 | 10.0 | 40 | 0.6255 | 0.7647 |
 
 
 
 
 
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  ### Framework versions