datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Finetune_Phi3_model_on_DataBasephi3-4000-datasetphi-3-mini-mrpc-syntheticThis is an experimental, partially synthetically generated dataset.
Data Generation
The anchor column was taken from the train split of the MRPC datasest. The column text1 was always used as the donor column.
For each row in the anchor column, a positive and a hard negative were generated using Phi-3-mini-4k-instruct.
VQA-phi3phi_3_autotrain_convorobotics-blind-spots-phi3
Dataset: Robotics Blind Spots in Microsoft Phi-3.5-mini-instruct
Model Tested
This dataset evaluates the base model microsoft/Phi-3.5-mini-instruct (3.8B parameters), released in 2024.
Model Loading Code
The model was loaded in Google Colab with a T4 GPU using 4-bit quantization:
from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
import torch
model_name = "microsoft/Phi-3.5-mini-instruct"
quantization_config =… See the full description on the dataset page: https://huggingface.co/datasets/MS100/robotics-blind-spots-phi3.phi3-testacademicMCQ-phi3-responsePhi_3_mini_128k_CSPhi_3_mini_128k_physicsphi3-dbPhi_3_mini_128k_biology
Phi_3_mini_128k_biology
license: mit
Phi_3_mini_128k_mathphi3-train