---
library_name: peft
tags:
- facebook-opt-1.3b
- code
- instruct
- instruct-code
- code-alpaca
- alpaca-instruct
- alpaca
- opt-1.3b
datasets:
- sahil2801/CodeAlpaca-20k
base_model: codellama/CodeLlama-7b-hf
---

We finetuned Facebook/OPT-1.3B on Code-Alpaca-Instruct Dataset (sahil2801/CodeAlpaca-20k) for 5 epochs using [MonsterAPI](https://monsterapi.ai) no-code [LLM finetuner](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm).

This dataset is HuggingFaceH4/CodeAlpaca_20K unfiltered, removing 36 instances of blatant alignment.

The finetuning session got completed in 1 hour and 30 minutes and costed us only `$6` for the entire finetuning run!

#### Hyperparameters & Run details:
- Model Path: facebook/opt-1.3b
- Dataset: sahil2801/CodeAlpaca-20k
- Learning rate: 0.0003
- Number of epochs: 5
- Data split: Training: 90% / Validation: 10%
- Gradient accumulation steps: 1


---
license: apache-2.0
---