
We finetuned gpt2 on tatsu-lab/alpaca Dataset 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/tatsu-lab/alpaca unfiltered, removing 36 instances of blatant alignment. 

The finetuning session got completed in 20 minutes and costed us only `$3` for the entire finetuning run!

#### Hyperparameters & Run details:
- Model: gpt2
- Dataset: tatsu-lab/alpaca
- 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": ["gpt2", "code", "instruct", "alpaca-instruct", "alpaca"], "datasets": ["tatsu-lab/alpaca"], "base_model": "gpt2"}
peft gpt2 code instruct alpaca-instruct alpaca dataset:tatsu-lab/alpaca base_model:gpt2 region:us
TAGS
#peft #gpt2 #code #instruct #alpaca-instruct #alpaca #dataset-tatsu-lab/alpaca #base_model-gpt2 #region-us 


We finetuned gpt2 on tatsu-lab/alpaca Dataset for 5 epochs using MonsterAPI no-code LLM finetuner.

This dataset is HuggingFaceH4/tatsu-lab/alpaca unfiltered, removing 36 instances of blatant alignment. 

The finetuning session got completed in 20 minutes and costed us only '$3' for the entire finetuning run!

#### Hyperparameters & Run details:
- Model: gpt2
- Dataset: tatsu-lab/alpaca
- 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: gpt2
- Dataset: tatsu-lab/alpaca
- Learning rate: 0.0003
- Number of epochs: 5
- Data split: Training: 90% / Validation: 10%
- Gradient accumulation steps: 1
---
license: apache-2.0
---
TAGS
#peft #gpt2 #code #instruct #alpaca-instruct #alpaca #dataset-tatsu-lab/alpaca #base_model-gpt2 #region-us 
 #### Hyperparameters & Run details:
- Model: gpt2
- Dataset: tatsu-lab/alpaca
- Learning rate: 0.0003
- Number of epochs: 5
- Data split: Training: 90% / Validation: 10%
- Gradient accumulation steps: 1
---
license: apache-2.0
---