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