README.md

PaReS-sentimenTw-political-PL

This model is a fine-tuned version of dkleczek/bert-base-polish-cased-v1 to predict 3-categorical sentiment. Fine-tuned on 1k sample of manually annotated Twitter data.

Mapping (id2label): mapping = { 0:'negative', 1:'neutral', 2:'positive' }

Intended uses & limitations

Sentiment detection in Polish data (fine-tuned on tweets from political domain).

Training and evaluation data

Trained for 3 epochs, mini-batch size of 8. Training results: loss: 0.1358926964368792

Evaluation procedure

It achieves the following results on the test set (10%):

Num examples = 100 Batch size = 8 Accuracy = 0.950 F1-macro = 0.944

          precision    recall  f1-score   support

       0      0.960     0.980     0.970        49
       1      0.958     0.885     0.920        26
       2      0.923     0.960     0.941        25

accuracy                          0.950       100

macro avg 0.947 0.941 0.944 100 weighted avg 0.950 0.950 0.950 100