Dataset
Notebooks
xmltodict.ipynb contains the code to convert the xml files to json for training
training_script.ipynb contains the code for training and inference. It is a modified version of https://github.com/AI4Bharat/IndianNLP-Transliteration/blob/master/NoteBooks/Xlit_TrainingSetup_condensed.ipynb
Predictions
pred_test.json contains top-10 predictions on the validation set of the dataset
Evaluation Scores on validation set
TOP 10 SCORES FOR 1000 SAMPLES
| Metrics | Score |
|---|
| ACC | 0.703000 |
| Mean F-score | 0.949289 |
| MRR | 0.486549 |
| MAP_ref | 0.381000 |
TOP 5 SCORES FOR 1000 SAMPLES:
| Metrics | Score |
|---|
| ACC | 0.621000 |
| Mean F-score | 0.937985 |
| MRR | 0.475033 |
| MAP_ref | 0.381000 |
TOP 3 SCORES FOR 1000 SAMPLES:
| Metrics | Score |
|---|
| ACC | 0.560000 |
| Mean F-score | 0.927025 |
| MRR | 0.461333 |
| MAP_ref | 0.381000 |
TOP 2 SCORES FOR 1000 SAMPLES:
| Metrics | Score |
|---|
| ACC | 0.502000 |
| Mean F-score | 0.913697 |
| MRR | 0.442000 |
| MAP_ref | 0.381000 |
TOP 1 SCORES FOR 1000 SAMPLES:
| Metrics | Score |
|---|
| ACC | 0.382000 |
| Mean F-score | 0.881272 |
| MRR | 0.382000 |
| MAP_ref | 0.380500 |