|
--- |
|
library_name: peft |
|
tags: |
|
- meta-llama |
|
- code |
|
- instruct |
|
- WizardLM |
|
datasets: |
|
- WizardLM/WizardLM_evol_instruct_70k |
|
base_model: EleutherAI/gpt-j-6b |
|
license: apache-2.0 |
|
--- |
|
|
|
### Finetuning Overview: |
|
|
|
**Model Used:** EleutherAI/gpt-j-6b |
|
**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](https://monsterapi.ai)'s [LLM finetuner](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm), this finetuning: |
|
|
|
- Was achieved with great cost-effectiveness. |
|
- Completed in a total duration of 9hrs 45mins for 1 epoch. |
|
|
|
#### Hyperparameters & Additional Details: |
|
|
|
- **Epochs:** 1 |
|
- **Model Path:** EleutherAI/gpt-j-6b |
|
- **Learning Rate:** 0.0002 |
|
- **Data Split:** 90% train 10% validation |
|
- **Gradient Accumulation Steps:** 4 |
|
|
|
``` |
|
|
|
### INSTRUCTION: |
|
[instruction] |
|
|
|
### RESPONSE: |
|
[output] |
|
``` |
|
Training loss : |
|
 |
|
|
|
--- |
|
|
|
license: apache-2.0 |
|
|
