README.md

metadata

library_name: peft
tags:
  - meta-llama
  - code
  - instruct
  - WizardLM
  - Mistral-7B-v0.1
datasets:
  - WizardLM/WizardLM_evol_instruct_70k
base_model: HuggingFaceH4/zephyr-7b-alpha
license: apache-2.0

Finetuning Overview:

Model Used: HuggingFaceH4/zephyr-7b-alpha
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 5hrs 18mins for 1 epoch using an A6000 48GB GPU.
• Costed $10 for the entire epoch.

Hyperparameters & Additional Details:

• Epochs: 1
• Cost Per Epoch: $10.5
• Total Finetuning Cost: $10.5
• Model Path: HuggingFaceH4/zephyr-7b-alpha
• Learning Rate: 0.0002
• Data Split: 90% train 10% validation
• Gradient Accumulation Steps: 4

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### INSTRUCTION:
[instruction]

### RESPONSE:
[output]

Training loss :

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license: apache-2.0