IRE Project: Abstractive Text Summarisation

1. MCLAS
   Code: [Link to mT5 repo] Paper

2. mT5
   Code: [Link to repo]

Training vanilla mT5. Currently it is in Gujarati: Training of mT5 (The Colab files have the log data).

Predicting summary by mT5. Predicting mT5

This contains fine-tuned Gujarati Summarisation model (trained up to 3 epochs).

Paper

Fine-tuned code for mT5. Fine-tuned mT5

Datasets used:

Gujarati

Hindi and English, ignore or replace gujarati folder in this.

3. IndicBART Code

Results:

Vanilla mT5:

Language	Rouge-1	Rouge-2	Rouge-L
English	48.6645	36.1859	43.69
Hindi	51.468	40.1589	46.6524
Gujarati	23.0882	14.0092	20.7578

XL-Sum:

Language	Rouge-1	Rouge-L
English	43.35	34.47
Hindi	41.79	36.67

Contributors:
Aaradhya Gupta
Devesh Marwah
Mayank Goel
Radheshyam Thiyagarajan