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embunna
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resnet-18-finetuned-resnet

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resnet
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  1. README.md +4 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -61,21 +61,15 @@ 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: 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 | 0.8889 | 6 | 34464189825155072.0000 | 0.2812 |
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- | 48682629666439168.0000 | 1.9259 | 13 | 31846918359351296.0000 | 0.2812 |
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- | 29555741855999592.0000 | 2.9630 | 20 | 31846918359351296.0000 | 0.2812 |
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- | 29555741855999592.0000 | 4.0 | 27 | 31846918359351296.0000 | 0.2812 |
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- | 28954917162975232.0000 | 4.8889 | 33 | 31846918359351296.0000 | 0.2812 |
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- | 29873892417444248.0000 | 5.9259 | 40 | 31846918359351296.0000 | 0.2812 |
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- | 29873892417444248.0000 | 6.9630 | 47 | 31846918359351296.0000 | 0.2812 |
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- | 29575110440517632.0000 | 8.0 | 54 | 31846918359351296.0000 | 0.2812 |
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- | 29550508867846144.0000 | 8.8889 | 60 | 31846918359351296.0000 | 0.2812 |
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  ### Framework versions
 
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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: 3
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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 | 31846918359351296.0000 | 0.2812 |
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+ | 29760391893693236.0000 | 1.9259 | 13 | 31846918359351296.0000 | 0.2812 |
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+ | 29760391893693236.0000 | 2.6667 | 18 | 31846918359351296.0000 | 0.2812 |
 
 
 
 
 
 
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  ### Framework versions
model.safetensors CHANGED
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