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  {}
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  ---
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- # Test-Model
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-
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- This model is a fine-tuned version of llama, and is specialized for document classification. The overall accuracy of the model is 0.978852 and the hit rate is 0.543211.
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-
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- ## Training Parameters
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- - **Epochs**: 5
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- - **Batch Size**: 20
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- - **Threshold**: 0.975
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- - **Token Length**: 512
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- - **Data Set Size**: 10000
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- - **Evenly Distributed**: True
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- - **Municipalities**: Heroey, Kongsberg, Boemlo, Luster, Maalselv
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- - **Learning Rate**: 0.0001
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- - **Weight Decay**: 0.01
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- - **Eval Accumulation Steps**: 4
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- | Label | Accuracy | Accuracy Accumulation | Hit Rate | Hit Rate Accumulation |
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- |:-----:|:--------:|:---------------------:|:--------:|:---------------------:|
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- | 0 | 0.93 | 0.93 | 0.98 | 0.98 |
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- | 1 | 0.95 | 0.95 | 0.97 | 0.97 |
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- | 2 | 0.91 | 0.91 | 0.98 | 0.98 |
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- | 3 | 0.40 | 0.40 | 0.57 | 0.57 |
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- | 4 | 0.25 | 0.25 | 0.63 | 0.63 |
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- | 5 | 0.86 | 0.86 | 0.94 | 0.94 |
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- | 6 | 0.99 | 0.99 | 1.04 | 1.04 |
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- | 7 | 0.94 | 0.94 | 0.98 | 0.98 |
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- | 8 | 0.67 | 0.67 | 0.86 | 0.86 |
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- | 9 | 0.99 | 0.99 | 0.99 | 0.99 |
 
 
 
 
 
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  ---
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  {}
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Test-Model
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+
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+ This model is a fine-tuned version of llama, and is specialized for document classification.
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+ The overall accuracy of the model is 0.978852 and the hit rate is 0.543211.
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+
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+ ## Training Parameters
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+ - **Epochs**: 5
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+ - **Batch Size**: 20
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+ - **Threshold**: 0.975
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+ - **Token Length**: 512
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+ - **Data Set Size**: 10000
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+ - **Evenly Distributed**: True
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+ - **Municipalities**: Heroey, Kongsberg, Boemlo, Luster, Maalselv
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+ - **Learning Rate**: 0.0001
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+ - **Weight Decay**: 0.01
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+ - **Eval Accumulation Steps**: 4