Distilgpt2 Nepali Single Qs Generator Parameters and Internals
Model Type
distilgpt2, text generation
Additional Notes
The model is specifically fine-tuned for generating questions in Nepali based on given context.
Supported Languages
Nepali (NLP (Natural Language Processing))
Training Details
Data Sources:
Bibek1129/nepali_SQuAD_single_qsn
Methodology:
The dataset is created by converting SQuAD dataset to nepali using Nepali_nlp and trained with the lora config (rank=32,lora_alpha=64) with 512 tokens per instance, 4 instances per batch, and around 118.1K training steps.
Note: green Score (e.g. "73.2") means that the model is better than Bibek1129/distilgpt2-nepali-single-qs-generator.
Rank the Distilgpt2 Nepali Single Qs Generator Capabilities
๐ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐
Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation
What open-source LLMs or SLMs are you in search of? 52721 in total.