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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) ≈ 73.45%
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Test Report:
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```
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precision recall f1-score support
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0 0.73 0.44 0.55 100
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1 0.25 0.30 0.28 100
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2 0.22 0.47 0.30 100
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3 0.26 0.33 0.29 100
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4 0.40 0.14 0.21 100
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5 1.00 0.02 0.04 50
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accuracy 0.31 550
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macro avg 0.48 0.28 0.28 550
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weighted avg 0.43 0.31 0.30 550
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```
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Confusion Matrix:
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```
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[[44 32 22 2 0 0]
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[13 30 47 10 0 0]
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[ 3 33 47 17 0 0]
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[ 0 14 44 33 9 0]
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[ 0 5 36 45 14 0]
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[ 0 4 14 19 12 1]]
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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 = 0.3073
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eval_f1_macro = 0.2779
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eval_loss = 1.559
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eval_precision = 0.4789
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eval_recall = 0.2833
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eval_runtime = 0:00:04.86
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eval_samples_per_second = 113.008
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eval_steps_per_second = 3.698
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```
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## Training and evaluation data
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More information needed
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