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# Educational Score FastText Model
- Trained on `AngelinaZanardi/fineweb-kimi-k2-instruct-nno_cleaned`
- Target column: `educational_score`
- Hyperparameters: lr=0.05, epoch=50, wordNgrams=1, dim=300, minCount=5, loss=softmax, ws=7, minn=3, maxn=6
- Validation F1: 0.4976
- Test F1: 0.4938
✅ Validation Weighted F1: 0.4976
✅ Test Weighted F1: 0.4938
Confusion Matrix:
[[ 3 15 0 0 0 0]
[ 3 171 4 24 0 0]
[ 0 54 7 51 4 0]
[ 0 28 11 115 8 0]
[ 0 2 0 28 10 0]
[ 0 0 0 6 5 0]]
Classification Report:
precision recall f1-score support
0 0.50 0.17 0.25 18
1 0.63 0.85 0.72 202
2 0.32 0.06 0.10 116
3 0.51 0.71 0.60 162
4 0.37 0.25 0.30 40
5 0.00 0.00 0.00 11
accuracy 0.56 549
macro avg 0.39 0.34 0.33 549
weighted avg 0.50 0.56 0.49 549
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