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en-hi-transliteration
anuragshas/en-hi-transliteration
en-hi-transliteration is a machine learning model from anuragshas. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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Public
Updated Apr 2, 2022
Repo size
40.9 MB
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1
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Apr 2, 2022
- Updated
- Apr 2, 2022
- SHA
- 8f073ece
Model card
From the Hugging Face model README
Dataset
NEWS2018 DATASET_04, Task ID: M-EnHi
Notebooks
xmltodict.ipynbcontains the code to convert thexmlfiles tojsonfor trainingtraining_script.ipynbcontains 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 |
- License
- apache-2.0
- Created
- Apr 2, 2022
- Updated
- Apr 2, 2022