---
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 :
![training loss](train-loss.png "Training loss")

---

license: apache-2.0