This release contains one flair character-based LM and one NER model
Bengali Wiki Flair embeddings
Here we have trained Flair character-based language model for the Bengali Wiki dataset.
-
Forward LM
- Total wikipedia artcles: 110449
- Train epoch: 5 Epochs
- Validation loss: 1.5366
- Validation perplexity: 4.6490
-
Backward LM
- Total wikipedia artcles: 110449
- Train epoch: 5 Epochs
- Validation loss: 1.4717
- Validation perplexity: 4.3566
Bengali NER Model
Wikiann Model
We have trained the Bengali NER model for wikiann Bengali NER dataset.
- Total wikiann train data: 1000
- Total wikiann validation data: 100
- TOTAL wikiann test data: 100
- Train epoch: 70 Epochs
- Score in Test data
- F-score (micro) 0.7751
- F-score (macro) 0.775
- Accuracy 0.7364
- For details log check here