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RichardErkhov/tanliboy_-_zephyr-gemma-2-9b-sft-completion-gguf

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

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zephyr-gemma-2-9b-sft-completion - GGUF

  • —Model creator: https://huggingface.co/tanliboy/
  • —Original model: https://huggingface.co/tanliboy/zephyr-gemma-2-9b-sft-completion/

Original model description: --- license: gemma base_model: google/gemma-2-9b tags:

  • —alignment-handbook
  • —trl
  • —sft
  • —generatedfromtrainer
  • —trl
  • —sft
  • —generatedfromtrainer datasets:
  • —HuggingFaceH4/ultrachat_200k model-index:
  • —name: zephyr-gemma-2-9b-sft-completion results: [] ---

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zephyr-gemma-2-9b-sft-completion

This model is a fine-tuned version of google/gemma-2-9b on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.8465

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: 3e-06
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 8
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 128
  • —totalevalbatch_size: 32
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 1

Training results

Training LossEpochStepValidation Loss
0.8291.016240.8465

Framework versions

  • —Transformers 4.43.0.dev0
  • —Pytorch 2.3.1+cu121
  • —Datasets 2.19.1
  • —Tokenizers 0.19.1