Model: Yatro/PHI-2-STEM-261125
Author: Yatro
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, phi, text-generation, phi-2, stem, science, mathematics, physics, chemistry, biology, ethics, fine-tuned, lora, int8, education, research, en, dataset:custom, base_model:microsoft/phi-2, base_model:adapter:microsoft/phi-2, doi:10.57967/hf/7105, license:mit, model-index, text-generation-inference, endpoints_compatible, region:us
Base models (adapter): id: microsoft/phi-2
Card metadata: language: en
license: mit
library_name: transformers
base_model: microsoft/phi-2
tags: phi-2, stem, science, mathematics, physics, chemistry, biology, ethics, fine-tuned, lora, int8, education, research
datasets: custom
metrics: loss, perplexity
pipeline_tag: text-generation
model-index: name: PHI-2-STEM-261125
results: task: type: text-generation
name: Text Generation
metrics: name: Final Training Loss
type: loss
value: 1.54
verified: no, name: Average Training Loss
type: loss
value: 1.8
verified: no, name: Initial Loss
type: loss
value: 2.07
verified: no, name: Loss Reduction
type: custom
value: 26%
verified: no
widget: text: Explain the Heisenberg Uncertainty Principle:
example_title: Quantum Physics, text: What is the SN2 reaction mechanism?
example_title: Organic Chemistry, text: Describe the Fundamental Theorem of Calculus:
example_title: Mathematics, text: What are the principles of bioethics?
example_title: Ethics
inference: parameters: max_new_tokens: 200
temperature: 0.7
top_p: 0.95
do_sample: yes
Likes: 0 | All-time downloads: 23
Created: 2025-11-26 20:52:29