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opt125M_alpaca
monsterapi/opt125M_alpaca
opt125M_alpaca is a machine learning model from monsterapi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
We finetuned facebook/opt-125m on tatsu-lab/alpaca Dataset for 10 epochs using MonsterAPI no-code LLM finetuner.
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At a glance
- Library
- peft
- Access
- Public
- Created
- May 13, 2023
- Updated
- Sep 21, 2023
- SHA
- 09355ac5
Base models
Datasets
Model card
From the Hugging Face model README
We finetuned facebook/opt-125m on tatsu-lab/alpaca Dataset for 10 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 40 minutes and costed us only $4 for the entire finetuning run!
Hyperparameters & Run details:
- Model: facebook/opt-125m
- Dataset: tatsu-lab/alpaca
- Learning rate: 0.0003
- Number of epochs: 10
- Data split: Training: 90% / Validation: 10%
- Gradient accumulation steps: 1
license: apache-2.0
- Library
- peft
- Created
- May 13, 2023
- Updated
- Sep 21, 2023