RichardErkhov/mlfoundations-dev_-_oh-mistral-bs4096_lr2_00E-06_schedulerconstant_warmup1_00E-01_minlr-gguf

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oh-mistral-bs4096lr200E-06schedulerconstantwarmup100E-01minlr - GGUF

• —Model creator: https://huggingface.co/mlfoundations-dev/
• —Original model: https://huggingface.co/mlfoundations-dev/oh-mistral-bs4096lr200E-06schedulerconstantwarmup100E-01minlr/

Original model description: --- libraryname: transformers license: other basemodel: mistralai/Mistral-7B-v0.3 tags:

• —llama-factory
• —full
• —generatedfromtrainer model-index:
• —name: oh-mistral-bs4096lr2.00E-06schedulerconstantwarmup1.00E-01minlr results: [] ---

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oh-mistral-bs4096lr2.00E-06schedulerconstantwarmup1.00E-01minlr

This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini dataset.

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: 2e-06
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 256
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 4096
• —totalevalbatch_size: 2048
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: constant
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.46.1
• —Pytorch 2.5.0a0+b465a5843b.nv24.09
• —Datasets 3.0.2
• —Tokenizers 0.20.3