Text Generation
PEFT
TensorBoard
Safetensors
English
medical
radiology
medical-coding
icd-10
cpt
llama-3
lora
healthcare
conversational
Instructions to use vineetdaniels/NYXMed-V18-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vineetdaniels/NYXMed-V18-Model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("vineetdaniels/NYXMed-V17-Merged") model = PeftModel.from_pretrained(base_model, "vineetdaniels/NYXMed-V18-Model") - Notebooks
- Google Colab
- Kaggle
| { | |
| "base_model": "vineetdaniels/NYXMed-V17-Merged", | |
| "output_model": "vineetdaniels/NYXMed-V18-Model", | |
| "train_examples": 59170, | |
| "val_examples": 500, | |
| "epochs": 2, | |
| "max_length": 2560, | |
| "grad_accum": 8, | |
| "effective_batch": 32, | |
| "learning_rate": 1e-05, | |
| "lora_r": 64, | |
| "lora_alpha": 128, | |
| "final_eval_loss": 0.07097452133893967, | |
| "total_steps": 1700, | |
| "train_runtime_hrs": 10.879446277777777 | |
| } |