metadata
library_name: peft
tags:
- meta-llama
- code
- instruct
- WizardLM
datasets:
- WizardLM/WizardLM_evol_instruct_70k
base_model: meta-llama/Llama-2-7b-hf
license: apache-2.0
Finetuning Overview:
Model Used: meta-llama/Llama-2-7b-hf
Dataset: WizardLM/WizardLM_evol_instruct_70k
Dataset Insights:
The WizardLM/WizardLM_evol_instruct_70k dataset, tailored specifically for enhancing interactive capabilities, was developed using the EVOL-Instruct method. This method enhances a smaller dataset with tougher questions for the LLM to perform.
Finetuning Details:
With the utilization of MonsterAPI's LLM finetuner, this finetuning:
- Was achieved with great cost-effectiveness.
- Completed in a total duration of 6hrs 48mins for 1 epoch.
Hyperparameters & Additional Details:
- Epochs: 1
- Model Path: meta-llama/Llama-2-7b-hf
- Learning Rate: 0.0002
- Data Split: 90% train 10% validation
- Gradient Accumulation Steps: 4
### INSTRUCTION:
[instruction]
### RESPONSE:
[output]
Training loss :
license: apache-2.0