| # PaReS-sentimenTw-political-PL | |
| This model is a fine-tuned version of [dkleczek/bert-base-polish-cased-v1](https://huggingface.co/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 | |