Text Generation
PEFT
TensorBoard
Safetensors
English
medical
radiology
medical-coding
icd-10
cpt
llama-3
llama-3-70b
lora
healthcare
clinical
conversational
Instructions to use vineetdaniels/NYXMed-V17-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vineetdaniels/NYXMed-V17-Model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("vineetdaniels/NYXMed-V16-Model") model = PeftModel.from_pretrained(base_model, "vineetdaniels/NYXMed-V17-Model") - Notebooks
- Google Colab
- Kaggle
| [ | |
| { | |
| "step": 1500, | |
| "epoch": 0.4246585037865383, | |
| "eval_loss": 0.14635811746120453, | |
| "eval_runtime": 51.064, | |
| "eval_samples_per_second": 4.896, | |
| "eval_steps_per_second": 1.234 | |
| }, | |
| { | |
| "step": 1600, | |
| "epoch": 0.45296907070564085, | |
| "eval_loss": 0.14519159495830536, | |
| "eval_runtime": 51.9828, | |
| "eval_samples_per_second": 4.809, | |
| "eval_steps_per_second": 1.212 | |
| }, | |
| { | |
| "step": 1700, | |
| "epoch": 0.48127963762474346, | |
| "eval_loss": 0.14282415807247162, | |
| "eval_runtime": 51.857, | |
| "eval_samples_per_second": 4.821, | |
| "eval_steps_per_second": 1.215 | |
| }, | |
| { | |
| "step": 1800, | |
| "epoch": 0.509590204543846, | |
| "eval_loss": 0.14175137877464294, | |
| "eval_runtime": 52.3687, | |
| "eval_samples_per_second": 4.774, | |
| "eval_steps_per_second": 1.203 | |
| }, | |
| { | |
| "step": 1900, | |
| "epoch": 0.5379007714629486, | |
| "eval_loss": 0.14031976461410522, | |
| "eval_runtime": 52.3833, | |
| "eval_samples_per_second": 4.773, | |
| "eval_steps_per_second": 1.203 | |
| }, | |
| { | |
| "step": 2000, | |
| "epoch": 0.5662113383820511, | |
| "eval_loss": 0.13213595747947693, | |
| "eval_runtime": 59.102, | |
| "eval_samples_per_second": 4.23, | |
| "eval_steps_per_second": 1.066 | |
| }, | |
| { | |
| "step": 2100, | |
| "epoch": 0.5945219053011537, | |
| "eval_loss": 0.1282491832971573, | |
| "eval_runtime": 52.1233, | |
| "eval_samples_per_second": 4.796, | |
| "eval_steps_per_second": 1.209 | |
| }, | |
| { | |
| "step": 2200, | |
| "epoch": 0.6228324722202562, | |
| "eval_loss": 0.12787169218063354, | |
| "eval_runtime": 51.72, | |
| "eval_samples_per_second": 4.834, | |
| "eval_steps_per_second": 1.218 | |
| }, | |
| { | |
| "step": 2300, | |
| "epoch": 0.6511430391393588, | |
| "eval_loss": 0.12934190034866333, | |
| "eval_runtime": 52.1298, | |
| "eval_samples_per_second": 4.796, | |
| "eval_steps_per_second": 1.209 | |
| }, | |
| { | |
| "step": 2400, | |
| "epoch": 0.6794536060584613, | |
| "eval_loss": 0.11854572594165802, | |
| "eval_runtime": 52.4158, | |
| "eval_samples_per_second": 4.77, | |
| "eval_steps_per_second": 1.202 | |
| }, | |
| { | |
| "step": 2500, | |
| "epoch": 0.7077641729775639, | |
| "eval_loss": 0.11603201180696487, | |
| "eval_runtime": 52.8156, | |
| "eval_samples_per_second": 4.733, | |
| "eval_steps_per_second": 1.193 | |
| }, | |
| { | |
| "step": 2600, | |
| "epoch": 0.7360747398966664, | |
| "eval_loss": 0.11498851329088211, | |
| "eval_runtime": 52.2032, | |
| "eval_samples_per_second": 4.789, | |
| "eval_steps_per_second": 1.207 | |
| }, | |
| { | |
| "step": 2700, | |
| "epoch": 0.764385306815769, | |
| "eval_loss": 0.110720694065094, | |
| "eval_runtime": 52.7686, | |
| "eval_samples_per_second": 4.738, | |
| "eval_steps_per_second": 1.194 | |
| }, | |
| { | |
| "step": 2800, | |
| "epoch": 0.7926958737348715, | |
| "eval_loss": 0.10768646746873856, | |
| "eval_runtime": 52.8634, | |
| "eval_samples_per_second": 4.729, | |
| "eval_steps_per_second": 1.192 | |
| }, | |
| { | |
| "step": 2900, | |
| "epoch": 0.8210064406539741, | |
| "eval_loss": 0.10808777064085007, | |
| "eval_runtime": 51.8846, | |
| "eval_samples_per_second": 4.818, | |
| "eval_steps_per_second": 1.214 | |
| }, | |
| { | |
| "step": 3000, | |
| "epoch": 0.8493170075730766, | |
| "eval_loss": 0.10439032316207886, | |
| "eval_runtime": 53.4665, | |
| "eval_samples_per_second": 4.676, | |
| "eval_steps_per_second": 1.178 | |
| }, | |
| { | |
| "step": 3100, | |
| "epoch": 0.8776275744921792, | |
| "eval_loss": 0.10196959972381592, | |
| "eval_runtime": 52.4629, | |
| "eval_samples_per_second": 4.765, | |
| "eval_steps_per_second": 1.201 | |
| }, | |
| { | |
| "step": 3200, | |
| "epoch": 0.9059381414112817, | |
| "eval_loss": 0.09937935322523117, | |
| "eval_runtime": 67.9272, | |
| "eval_samples_per_second": 3.68, | |
| "eval_steps_per_second": 0.927 | |
| }, | |
| { | |
| "step": 3300, | |
| "epoch": 0.9342487083303843, | |
| "eval_loss": 0.09591619670391083, | |
| "eval_runtime": 52.3234, | |
| "eval_samples_per_second": 4.778, | |
| "eval_steps_per_second": 1.204 | |
| }, | |
| { | |
| "step": 3400, | |
| "epoch": 0.9625592752494869, | |
| "eval_loss": 0.09332611411809921, | |
| "eval_runtime": 53.4588, | |
| "eval_samples_per_second": 4.676, | |
| "eval_steps_per_second": 1.178 | |
| }, | |
| { | |
| "step": 3500, | |
| "epoch": 0.9908698421685894, | |
| "eval_loss": 0.08754169940948486, | |
| "eval_runtime": 52.8398, | |
| "eval_samples_per_second": 4.731, | |
| "eval_steps_per_second": 1.192 | |
| }, | |
| { | |
| "step": 3600, | |
| "epoch": 1.019180409087692, | |
| "eval_loss": 0.08236898481845856, | |
| "eval_runtime": 54.7048, | |
| "eval_samples_per_second": 4.57, | |
| "eval_steps_per_second": 1.152 | |
| }, | |
| { | |
| "step": 3700, | |
| "epoch": 1.0474909760067945, | |
| "eval_loss": 0.08643540740013123, | |
| "eval_runtime": 52.0828, | |
| "eval_samples_per_second": 4.8, | |
| "eval_steps_per_second": 1.21 | |
| }, | |
| { | |
| "step": 3800, | |
| "epoch": 1.0758015429258971, | |
| "eval_loss": 0.08441882580518723, | |
| "eval_runtime": 51.9948, | |
| "eval_samples_per_second": 4.808, | |
| "eval_steps_per_second": 1.212 | |
| }, | |
| { | |
| "step": 3900, | |
| "epoch": 1.1041121098449997, | |
| "eval_loss": 0.08410802483558655, | |
| "eval_runtime": 52.6672, | |
| "eval_samples_per_second": 4.747, | |
| "eval_steps_per_second": 1.196 | |
| }, | |
| { | |
| "step": 3900, | |
| "epoch": 1.1041121098449997, | |
| "eval_loss": 0.08236898481845856, | |
| "eval_runtime": 62.4976, | |
| "eval_samples_per_second": 4.0, | |
| "eval_steps_per_second": 1.008 | |
| } | |
| ] |