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falcon_7b_OpenPlatypus
monsterapi/falcon_7b_OpenPlatypus
falcon_7b_OpenPlatypus 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. The card lists the license as apache-2.0.
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Nov 6, 2023
- Updated
- Dec 8, 2023
- SHA
- 8a9c3efe
Base models
Datasets
Model card
From the Hugging Face model README
Finetuning Overview:
Model Used: tiiuae/falcon-7b
Dataset: garage-bAInd/Open-Platypus
Dataset Insights:
garage-bAInd/Open-Platypus dataset is focused on improving LLM logical reasoning skills and was used to train the Platypus2 models. It is comprised of the following datasets, which were filtered using keyword search and then Sentence Transformers to remove questions with a similarity above 80%
Finetuning Details:
With the utilization of MonsterAPI's LLM finetuner, this finetuning:
- Was achieved with great cost-effectiveness.
- Completed in a total duration of 1h 39m 17s for 1 epoch using an A6000 48GB GPU.
- Costed
$3.33for the entire epoch.
Hyperparameters & Additional Details:
- Epochs: 1
- Cost Per Epoch: $3.33
- Total Finetuning Cost: $3.33
- Model Path: tiiuae/falcon-7b
- Learning Rate: 0.0002
- Data Split: 100% train
- Gradient Accumulation Steps: 4
- lora r: 32
- lora alpha: 64
Train loss :
license: apache-2.0
- Library
- peft
- License
- apache-2.0
- Created
- Nov 6, 2023
- Updated
- Dec 8, 2023