RichardErkhov/mlfoundations-dev_-_oh-dcft-v1.2_no-curation_gpt-4o-mini_wo_camel_math-gguf

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oh-dcft-v1.2no-curationgpt-4o-miniwocamel_math - GGUF

• —Model creator: https://huggingface.co/mlfoundations-dev/
• —Original model: https://huggingface.co/mlfoundations-dev/oh-dcft-v1.2no-curationgpt-4o-miniwocamel_math/

Original model description: --- libraryname: transformers license: llama3.1 basemodel: meta-llama/Meta-Llama-3.1-8B tags:

• —llama-factory
• —full
• —generatedfromtrainer model-index:
• —name: oh-dcft-v1.2no-curationgpt-4o-miniwocamel_math results: [] ---

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oh-dcft-v1.2no-curationgpt-4o-miniwocamel_math

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the mlfoundations-dev/oh-dcft-v1.2no-curationgpt-4o-miniwocamel_math dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7416

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-06
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 32
• —totaltrainbatch_size: 512
• —totalevalbatch_size: 256
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: constant
• —lrschedulerwarmup_ratio: 0.1
• —lrschedulerwarmup_steps: 1738
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.0
• —Datasets 3.0.2
• —Tokenizers 0.19.1