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metadata
library_name: transformers
tags:
  - code
  - instruct
  - zephyr
datasets:
  - Zangs3011/no_robots_FalconChatFormated
base_model: HuggingFaceH4/zephyr-7b-alpha
license: apache-2.0

Finetuning Overview:

Model Used: HuggingFaceH4/zephyr-7b-alpha Dataset: Zangs3011/no_robots_FalconChatFormated

Dataset Insights:

The WizardLM/WizardLM_evol_instruct_70k dataset, tailored specifically for enhancing interactive capabilities, it was developed using EVOL-Instruct method.Which will basically enhance a smaller dataset, with tougher quesitons 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 36mins 47secs for 1 epoch using an A6000 48GB GPU.
  • Costed $1.212 for the entire epoch.

Hyperparameters & Additional Details:

  • Epochs: 1
  • Cost Per Epoch: $1.212
  • Total Finetuning Cost: $1.212
  • Model Path: HuggingFaceH4/zephyr-7b-alpha
  • Learning Rate: 0.0002
  • Data Split: 99% train 1% validation
  • Gradient Accumulation Steps: 4

Prompt Structure

### INSTRUCTION:
[instruction]

### RESPONSE:
[text]

Eval loss :

training loss

license: apache-2.0