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README.md

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- Accuracy: 0.924647
- Hit rate: 0.977464
- **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
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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: 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