Update README.md
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README.md
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@@ -3,10 +3,167 @@ library_name: transformers
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tags: []
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---
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## Model Details
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tags: []
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---
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```
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================================================================================
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+
ASPEKT | ACC | F1-MACRO | WYNIK
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================================================================================
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overall_experience | 0.8406 | 0.7705 | (Neg/None/Pos)
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location | 0.9468 | 0.8534 | (Neg/None/Pos)
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cleanliness | 0.9548 | 0.9243 | (Neg/None/Pos)
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bed_comfort | 0.8925 | 0.8122 | (Neg/None/Pos)
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size_space | 0.8034 | 0.7348 | (Neg/None/Pos)
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kitchen | 0.8914 | 0.8038 | (Neg/None/Pos)
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wifi | 0.9888 | 0.8632 | (Neg/None/Pos)
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noise | 0.9588 | 0.9216 | (Neg/None/Pos)
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safety | 0.9018 | 0.6855 | (Neg/None/Pos)
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host_contact | 0.9553 | 0.9265 | (Neg/None/Pos)
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value_for_money | 0.9350 | 0.7852 | (Neg/None/Pos)
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food | 0.8778 | 0.6203 | (Neg/None/Pos)
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--------------------------------------------------------------------------------
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>>> SZCZEGÓŁY DLA overall_experience
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precision recall f1-score support
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Negatywny 0.89 0.86 0.87 423
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Brak/OK 0.39 0.83 0.53 403
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Pozytywny 0.99 0.84 0.91 2913
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accuracy 0.84 3739
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macro avg 0.75 0.84 0.77 3739
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weighted avg 0.91 0.84 0.86 3739
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>>> SZCZEGÓŁY DLA location
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precision recall f1-score support
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Negatywny 0.49 0.96 0.65 92
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Brak/OK 0.96 0.92 0.94 1301
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Pozytywny 0.97 0.96 0.97 2346
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accuracy 0.95 3739
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macro avg 0.81 0.95 0.85 3739
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weighted avg 0.96 0.95 0.95 3739
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>>> SZCZEGÓŁY DLA cleanliness
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precision recall f1-score support
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Negatywny 0.79 0.92 0.85 302
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Brak/OK 0.98 0.96 0.97 2392
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Pozytywny 0.96 0.95 0.96 1045
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accuracy 0.95 3739
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macro avg 0.91 0.94 0.92 3739
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weighted avg 0.96 0.95 0.96 3739
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>>> SZCZEGÓŁY DLA bed_comfort
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precision recall f1-score support
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Negatywny 0.63 0.95 0.76 171
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Brak/OK 0.99 0.88 0.93 3102
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Pozytywny 0.61 0.95 0.74 466
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accuracy 0.89 3739
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macro avg 0.74 0.93 0.81 3739
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weighted avg 0.93 0.89 0.90 3739
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>>> SZCZEGÓŁY DLA size_space
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precision recall f1-score support
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Negatywny 0.54 0.94 0.68 258
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Brak/OK 0.94 0.80 0.86 2801
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Pozytywny 0.58 0.76 0.66 680
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accuracy 0.80 3739
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macro avg 0.68 0.83 0.73 3739
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weighted avg 0.85 0.80 0.81 3739
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>>> SZCZEGÓŁY DLA kitchen
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precision recall f1-score support
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Negatywny 0.61 0.96 0.74 164
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Brak/OK 0.99 0.88 0.93 3109
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Pozytywny 0.61 0.92 0.73 466
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accuracy 0.89 3739
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macro avg 0.74 0.92 0.80 3739
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weighted avg 0.93 0.89 0.90 3739
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>>> SZCZEGÓŁY DLA wifi
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precision recall f1-score support
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Negatywny 0.86 0.98 0.92 55
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Brak/OK 1.00 0.99 0.99 3648
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Pozytywny 0.53 0.94 0.68 36
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accuracy 0.99 3739
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macro avg 0.80 0.97 0.86 3739
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weighted avg 0.99 0.99 0.99 3739
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>>> SZCZEGÓŁY DLA noise
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precision recall f1-score support
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Negatywny 0.81 0.92 0.86 305
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Brak/OK 0.99 0.97 0.98 2881
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Pozytywny 0.92 0.94 0.93 553
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accuracy 0.96 3739
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macro avg 0.90 0.94 0.92 3739
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weighted avg 0.96 0.96 0.96 3739
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>>> SZCZEGÓŁY DLA safety
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precision recall f1-score support
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Negatywny 0.45 0.92 0.60 111
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Brak/OK 0.99 0.90 0.95 3490
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Pozytywny 0.36 0.88 0.51 138
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accuracy 0.90 3739
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macro avg 0.60 0.90 0.69 3739
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weighted avg 0.95 0.90 0.92 3739
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>>> SZCZEGÓŁY DLA host_contact
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precision recall f1-score support
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Negatywny 0.77 0.97 0.86 203
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Brak/OK 0.97 0.93 0.95 1568
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Pozytywny 0.97 0.97 0.97 1968
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accuracy 0.96 3739
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macro avg 0.90 0.96 0.93 3739
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weighted avg 0.96 0.96 0.96 3739
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>>> SZCZEGÓŁY DLA value_for_money
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precision recall f1-score support
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Negatywny 0.43 0.92 0.59 106
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Brak/OK 0.99 0.94 0.96 3357
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Pozytywny 0.76 0.86 0.81 276
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accuracy 0.94 3739
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macro avg 0.73 0.90 0.79 3739
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weighted avg 0.95 0.94 0.94 3739
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>>> SZCZEGÓŁY DLA food
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precision recall f1-score support
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Negatywny 0.21 0.95 0.35 19
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Brak/OK 0.99 0.87 0.93 3424
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Pozytywny 0.42 0.93 0.58 296
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accuracy 0.88 3739
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macro avg 0.54 0.92 0.62 3739
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weighted avg 0.94 0.88 0.90 3739
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```
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## Model Details
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