This is a fine-tuned version of the Gemma 2 2B model on a custom dataset of 24.6k QnA pairs on Indian Laws. It is designed to assist in legal research, drafting, and analysis specifically for Indian legal contexts. Model is fine-tuned using unsloth’s training configuration for faster training and infernece. — Model Name: Gemma 2 2B Indian Law — Base Model: Gemma 2 2B — Model Size: 5.2 gb (Lora weights Merged at 16bit) — Fine-Tuning Dataset: Custom dataset derived from Indian legal documents, case laws, and statutes — https://huggingface.co/datasets/viber1/indian-law-dataset?row=19 — Task: Legal text generation, legal QnA, legal text understanding, and legal research. — Language: English — Framework: Hugging Face Transformers, Unsloth You can use this model with the Hugging Face Transformers library: — Fine-Tuning Objective: The model was fine-tuned on a dataset of Indian legal texts to improve its performance in generating legal content, answering legal questions, and summarizing case laws. > — Training Duration: 1.5 hrs on 4 Tesla T4 GPUs. > — Hardware Used: Tesla T4 GPU (16 gb VRAM) > — Optimizer: Adam optim. (8 bit) > — Learning Rate: 2e — 4 > — Bfloat Enabled: False > — Batch…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: Ananya8154
Теги: gemma2, en, text-generation-inference, endpoints_compatible
Лайков: 4 | Загрузок: 93
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
