Update README.md
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README.md
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- siglip2
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- vit
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- biology
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---
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- siglip2
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- vit
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- biology
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+
---
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```py
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Classification Report:
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precision recall f1-score support
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apple_pie 0.8399 0.8253 0.8325 750
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baby_back_ribs 0.9445 0.8853 0.9140 750
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baklava 0.9736 0.9347 0.9537 750
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beef_carpaccio 0.9079 0.9200 0.9139 750
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beef_tartare 0.8486 0.8293 0.8388 750
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beet_salad 0.8649 0.8707 0.8678 750
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beignets 0.8961 0.9080 0.9020 750
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bibimbap 0.9361 0.9373 0.9367 750
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bread_pudding 0.7979 0.8000 0.7989 750
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breakfast_burrito 0.8784 0.9053 0.8917 750
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bruschetta 0.8672 0.8533 0.8602 750
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caesar_salad 0.9444 0.9293 0.9368 750
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cannoli 0.9263 0.9547 0.9402 750
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caprese_salad 0.9110 0.9280 0.9194 750
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carrot_cake 0.9068 0.8040 0.8523 750
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ceviche 0.8375 0.8453 0.8414 750
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cheesecake 0.8225 0.8093 0.8159 750
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cheese_plate 0.9627 0.9627 0.9627 750
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chicken_curry 0.8970 0.8827 0.8898 750
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chicken_quesadilla 0.9254 0.9093 0.9173 750
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chicken_wings 0.9512 0.9360 0.9435 750
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chocolate_cake 0.7958 0.8107 0.8032 750
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chocolate_mousse 0.6947 0.7827 0.7361 750
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churros 0.9440 0.9440 0.9440 750
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clam_chowder 0.8883 0.9120 0.9000 750
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club_sandwich 0.9396 0.9133 0.9263 750
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crab_cakes 0.9185 0.8720 0.8947 750
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creme_brulee 0.9141 0.9227 0.9184 750
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croque_madame 0.9106 0.8960 0.9032 750
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cup_cakes 0.8986 0.9333 0.9156 750
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deviled_eggs 0.9787 0.9813 0.9800 750
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donuts 0.8893 0.8787 0.8840 750
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dumplings 0.9212 0.8880 0.9043 750
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edamame 0.9960 0.9920 0.9940 750
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eggs_benedict 0.9207 0.9440 0.9322 750
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escargots 0.8709 0.8907 0.8807 750
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falafel 0.8945 0.8933 0.8939 750
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filet_mignon 0.7598 0.7467 0.7532 750
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fish_and_chips 0.9454 0.9467 0.9460 750
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foie_gras 0.6659 0.8027 0.7279 750
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french_fries 0.9447 0.9333 0.9390 750
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french_onion_soup 0.8667 0.9187 0.8919 750
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french_toast 0.8890 0.8760 0.8825 750
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fried_calamari 0.9448 0.9133 0.9288 750
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fried_rice 0.9325 0.9213 0.9269 750
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frozen_yogurt 0.8716 0.9507 0.9094 750
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garlic_bread 0.9103 0.8800 0.8949 750
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gnocchi 0.8554 0.8280 0.8415 750
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greek_salad 0.9203 0.9240 0.9222 750
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grilled_cheese_sandwich 0.8523 0.8773 0.8647 750
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grilled_salmon 0.8463 0.8960 0.8705 750
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guacamole 0.9537 0.9347 0.9441 750
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gyoza 0.8970 0.9173 0.9071 750
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hamburger 0.8899 0.8947 0.8923 750
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hot_and_sour_soup 0.9439 0.9413 0.9426 750
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hot_dog 0.8859 0.9320 0.9084 750
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huevos_rancheros 0.8465 0.8827 0.8642 750
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hummus 0.9394 0.9093 0.9241 750
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ice_cream 0.8633 0.8507 0.8570 750
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lasagna 0.8780 0.8733 0.8757 750
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lobster_bisque 0.8952 0.9107 0.9028 750
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lobster_roll_sandwich 0.9664 0.9573 0.9618 750
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macaroni_and_cheese 0.9273 0.9013 0.9141 750
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macarons 0.9892 0.9747 0.9819 750
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miso_soup 0.9565 0.9667 0.9615 750
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mussels 0.9602 0.9640 0.9621 750
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nachos 0.9337 0.9387 0.9362 750
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omelette 0.8889 0.8960 0.8924 750
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onion_rings 0.9493 0.9493 0.9493 750
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oysters 0.9808 0.9533 0.9669 750
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pad_thai 0.9188 0.9507 0.9345 750
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paella 0.9352 0.9240 0.9296 750
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pancakes 0.9277 0.9067 0.9171 750
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panna_cotta 0.8056 0.8507 0.8275 750
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peking_duck 0.8529 0.9120 0.8814 750
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pho 0.9746 0.9227 0.9479 750
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pizza 0.9512 0.9360 0.9435 750
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pork_chop 0.8085 0.7373 0.7713 750
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poutine 0.9424 0.9387 0.9405 750
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prime_rib 0.9106 0.8147 0.8600 750
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pulled_pork_sandwich 0.8887 0.9053 0.8970 750
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ramen 0.8986 0.9213 0.9098 750
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ravioli 0.8532 0.8293 0.8411 750
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red_velvet_cake 0.9330 0.8907 0.9113 750
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risotto 0.8809 0.8680 0.8744 750
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samosa 0.9153 0.9227 0.9190 750
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sashimi 0.9248 0.9187 0.9217 750
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scallops 0.8564 0.8507 0.8535 750
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seaweed_salad 0.9597 0.9533 0.9565 750
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shrimp_and_grits 0.8995 0.8947 0.8971 750
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spaghetti_bolognese 0.9667 0.9667 0.9667 750
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spaghetti_carbonara 0.9601 0.9627 0.9614 750
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spring_rolls 0.9045 0.9467 0.9251 750
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steak 0.6311 0.7027 0.6650 750
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strawberry_shortcake 0.8832 0.8467 0.8645 750
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sushi 0.9204 0.8947 0.9074 750
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tacos 0.9225 0.8893 0.9056 750
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takoyaki 0.9419 0.9507 0.9463 750
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tiramisu 0.9074 0.8627 0.8845 750
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tuna_tartare 0.7691 0.7773 0.7732 750
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waffles 0.9629 0.9347 0.9486 750
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accuracy 0.8973 75750
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macro avg 0.8987 0.8973 0.8977 75750
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weighted avg 0.8987 0.8973 0.8977 75750
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```
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