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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: 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
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---
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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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