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README.md

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+# Test-Model
+
+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.
+
+## Training Parameters
+- **Epochs**: 5
+- **Batch Size**: 20
+- **Threshold**: 0.975
+- **Token Length**: 512
+- **Data Set Size**: 10000
+- **Evenly Distributed**: True
+- **Municipalities**: Heroey, Kongsberg, Boemlo, Luster, Maalselv
+- **Learning Rate**: 0.0001
+- **Weight Decay**: 0.01
+- **Eval Accumulation Steps**: 4
 
-# Test-Model
-
-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.
-
-## Training Parameters
-- **Epochs**: 5
-- **Batch Size**: 20
-- **Threshold**: 0.975
-- **Token Length**: 512
-- **Data Set Size**: 10000
-- **Evenly Distributed**: True
-- **Municipalities**: Heroey, Kongsberg, Boemlo, Luster, Maalselv
-- **Learning Rate**: 0.0001
-- **Weight Decay**: 0.01
-- **Eval Accumulation Steps**: 4
+| Label | Accuracy | Accuracy Accumulation | Hit Rate | Hit Rate Accumulation |
+|-------|----------|-----------------------|----------|-----------------------|
+| 0 | 0.9333333333333333 | 0.9333333333333333 | 0.9767441860465116 | 0.9767441860465116 |
+| 1 | 0.95 | 0.95 | 0.9743589743589743 | 0.9743589743589743 |
+| 2 | 0.9148936170212766 | 0.9148936170212766 | 0.9772727272727273 | 0.9772727272727273 |
+| 3 | 0.4 | 0.4 | 0.5714285714285714 | 0.5714285714285714 |
+| 4 | 0.25 | 0.25 | 0.6329113924050633 | 0.6329113924050633 |
+| 5 | 0.8571428571428571 | 0.8571428571428571 | 0.9375 | 0.9375 |
+| 6 | 0.9888888888888889 | 0.9888888888888889 | 1.04093567251462 | 1.04093567251462 |
+| 7 | 0.94 | 0.94 | 0.9791666666666666 | 0.9791666666666666 |
+| 8 | 0.6666666666666666 | 0.6666666666666666 | 0.8571428571428571 | 0.8571428571428571 |
+| 9 | 0.9888888888888889 | 0.9888888888888889 | 0.994413407821229 | 0.994413407821229 |