
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
---

{"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"}
peft facebook-opt-1.3b code instruct instruct-code code-alpaca alpaca-instruct alpaca opt-1.3b dataset:sahil2801/CodeAlpaca-20k base_model:codellama/CodeLlama-7b-hf region:us
TAGS
#peft #facebook-opt-1.3b #code #instruct #instruct-code #code-alpaca #alpaca-instruct #alpaca #opt-1.3b #dataset-sahil2801/CodeAlpaca-20k #base_model-codellama/CodeLlama-7b-hf #region-us 


We finetuned Facebook/OPT-1.3B on Code-Alpaca-Instruct Dataset (sahil2801/CodeAlpaca-20k) for 5 epochs using MonsterAPI no-code LLM finetuner.

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
---

#### 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
---
TAGS
#peft #facebook-opt-1.3b #code #instruct #instruct-code #code-alpaca #alpaca-instruct #alpaca #opt-1.3b #dataset-sahil2801/CodeAlpaca-20k #base_model-codellama/CodeLlama-7b-hf #region-us 
 #### 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
---