Yhyu13/LMCocktail-10.7B-v1-function-calling-lora

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LMCocktail-10.7B-v1-sft-glaive-function-calling-v2-ep1-lora

This model is a fine-tuned version of Yhyu13/LMCocktail-10.7B-v1 on the https://huggingface.co/datasets/Yhyu13/glaive-function-calling-v2-llama-factory-convert dataset, but with a subset of only the first 2000 data entries. It achieves the following results on the evaluation set:

• —Loss: 0.2787

Training script is availbale at ./scripts/

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-05
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 8
• —totalevalbatch_size: 2
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —num_epochs: 1.0

Training results

Framework versions

• —PEFT 0.7.1
• —Transformers 4.36.2
• —Pytorch 2.1.2+cu121
• —Datasets 2.16.1
• —Tokenizers 0.15.0