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README.md
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More information needed
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## Training and evaluation data
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More information needed
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More information needed
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## Test results
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Binary classification accuracy (threshold at label 3) ≈ 82.00%
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Test Report:
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```
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precision recall f1-score support
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0 0.81 0.42 0.55 100
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1 0.30 0.34 0.32 100
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2 0.36 0.55 0.44 100
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3 0.32 0.55 0.41 100
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4 0.43 0.26 0.32 100
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5 0.75 0.06 0.11 50
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accuracy 0.39 550
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macro avg 0.50 0.36 0.36 550
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weighted avg 0.47 0.39 0.38 550
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```
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Confusion Matrix:
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```
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[[42 45 10 2 1 0]
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[10 34 38 17 1 0]
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[ 0 24 55 21 0 0]
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[ 0 6 27 55 12 0]
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[ 0 2 18 53 26 1]
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[ 0 1 3 22 21 3]]
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```
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Test metrics
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```
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epoch = 20.0
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eval_accuracy = 0.3909
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eval_f1_macro = 0.3589
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eval_loss = 1.0854
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eval_precision = 0.4959
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eval_recall = 0.3633
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eval_runtime = 0:00:05.35
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eval_samples_per_second = 102.729
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eval_steps_per_second = 3.362
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```
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## Training and evaluation data
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More information needed
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