llm-finetuning
LLMFineTuningBench
Dataset Card for LLMFineTuningBench
A dataset of over 30,000 LLM fine-tuning experiments, capturing detailed performance metrics from jobs run on high-performance computing (HPC) clusters. It spans a wide range of models, fine-tuning methods, and hardware configurations, and is intended to support research on predictive resource allocation, performance optimization, and cost estimation for LLM fine-tuning workloads.
Dataset Details
Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/LLMFineTuningBench.medical-llm-finetuning-alignment-original-datasetoc-llm-finetuning-dataset
Dataset médical bilingue, triage CHSA
Dataset construit pour un POC d'agent IA de triage médical (mission OpenClassrooms,
AI Engineer, CHSA). Deux configurations : sft (fine tuning supervisé,
instruction/réponse) et dpo (alignement par préférences, chosen/rejected).
Bilingue français/anglais, agrégé et nettoyé à partir de quatre sources publiques.
Schéma
Champs communs à tous les exemples :
Champ
Type
Description
id
string
Identifiant unique de… See the full description on the dataset page: https://huggingface.co/datasets/rriviere/oc-llm-finetuning-dataset.LLM_Fine-Tuning_Performance
LLM Fine-Tuning Performance Benchmark Dataset
Dataset Summary
This dataset contains performance benchmarks for Large Language Model (LLM) fine-tuning across various hardware and software configurations. It includes throughput measurements (tokens per second) for 959 valid configurations, collected over 1000 GPU hours on a Kubernetes cluster. The dataset is designed for research on predictive performance modeling, specifically for evaluating methods that handle Categorical… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/LLM_Fine-Tuning_Performance.details_csujeong__Gemma-7B-Finetuning-JCS-Ko-Ins
Dataset Card for Evaluation run of csujeong/Gemma-7B-Finetuning-JCS-Ko-Ins
Dataset automatically created during the evaluation run of model csujeong/Gemma-7B-Finetuning-JCS-Ko-Ins on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_csujeong__Gemma-7B-Finetuning-JCS-Ko-Ins.medical-llm-finetuning-alignment-processed-dataset