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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. It achieves the following results on the evaluation set:
-- Accuracy: 0.924647
-- Hit rate: 0.977464
-
-## 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 | 0.93 | 0.93 | 0.98 | 0.98 |
-| 1 | 0.95 | 0.95 | 0.97 | 0.97 |
-| 2 | 0.91 | 0.91 | 0.98 | 0.98 |
-| 3 | 0.40 | 0.40 | 0.57 | 0.57 |
-| 4 | 0.25 | 0.25 | 0.63 | 0.63 |
-| 5 | 0.86 | 0.86 | 0.94 | 0.94 |
-| 6 | 0.99 | 0.99 | 1.04 | 1.04 |
-| 7 | 0.94 | 0.94 | 0.98 | 0.98 |
-| 8 | 0.67 | 0.67 | 0.86 | 0.86 |
-| 9 | 0.99 | 0.99 | 0.99 | 0.99 |
+# Test-Model
+
+This model is a fine-tuned version of llama, and is specialized for document classification. It achieves the following results on the evaluation set:
+- Accuracy: ACCURACY
+- Hit rate: HIT RATE
+
+## 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