Finetuning with MonsterAPI no-code LLM Finetuner in 5 easy steps:
Select an LLM: Mistral 7B v0.1
Select a task and Dataset: Instruction Finetuning and databricks-dolly-15k Dataset
Specify Hyperparameters: We used default values suggested by finetuner
Review and submit the job: That's it!
Hyperparameters & Run details:
Model: mistralai/Mistral-7B-v0.1
Dataset: databricks/databricks-dolly-15k
Learning rate: 0.0002
Number of epochs: 1
Cutoff length: 512
Data split: Training: 95% / Validation: 5%
Gradient accumulation steps: 1
About Model:
The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. Mistral-7B-v0.1 outperforms Llama 2 13B on majority of the benchmarks as tested by Mistral team.
About Dataset:
databricks-dolly-15k is a corpus of more than 15,000 records generated by thousands of Databricks employees to enable large language models to exhibit the magical interactivity of ChatGPT.
