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RichardErkhov/GOODYEONSU_-_Qwen2.5-0.5B-Instruct-ymg-finetuned-0925-gguf

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

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Qwen2.5-0.5B-Instruct-ymg-finetuned-0925 - GGUF

  • —Model creator: https://huggingface.co/GOODYEONSU/
  • —Original model: https://huggingface.co/GOODYEONSU/Qwen2.5-0.5B-Instruct-ymg-finetuned-0925/

Original model description: --- libraryname: transformers license: apache-2.0 basemodel: Qwen/Qwen2.5-0.5B-Instruct tags:

  • —trl
  • —sft
  • —generatedfromtrainer model-index:
  • —name: Qwen2.5-0.5B-Instruct-ymg-finetuned-0925 results: [] ---

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Qwen2.5-0.5B-Instruct-ymg-finetuned-0925

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on an unknown 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: 5e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 8
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 3
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 384
  • —totalevalbatch_size: 24
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: constant
  • —lrschedulerwarmup_ratio: 0.03
  • —num_epochs: 3

Training results

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.4.0+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1