# 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