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RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-8-gguf

sourceHugging Faceupdated 2y agoView on Hugging Face
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Quantization made by Richard Erkhov.

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llama3-8b-math-sft-subtask-8 - GGUF

  • —Model creator: https://huggingface.co/Dynosaur/
  • —Original model: https://huggingface.co/Dynosaur/llama3-8b-math-sft-subtask-8/

Original model description: --- libraryname: transformers license: llama3 basemodel: Dynosaur/llama3-8b-math-sft tags:

  • —alignment-handbook
  • —trl
  • —sft
  • —generatedfromtrainer
  • —trl
  • —sft
  • —generatedfromtrainer datasets:
  • —Dynosaur/math-sft-subtask-8 model-index:
  • —name: llama3-8b-math-sft-subtask-8 results: [] ---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

llama3-8b-math-sft-subtask-8

This model is a fine-tuned version of Dynosaur/llama3-8b-math-sft on the Dynosaur/math-sft-subtask-8 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-05
  • —trainbatchsize: 2
  • —evalbatchsize: 8
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 8
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 128
  • —totalevalbatch_size: 64
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 2

Training results

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.4.1+cu121
  • —Datasets 3.0.0
  • —Tokenizers 0.19.1