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RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-4bits

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

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zephyr-7b-sft-full - bnb 4bits

  • Model creator: https://huggingface.co/alignment-handbook/
  • Original model: https://huggingface.co/alignment-handbook/zephyr-7b-sft-full/

Original model description: --- license: apache-2.0 base_model: mistralai/Mistral-7B-v0.1 tags:

  • alignment-handbook
  • generatedfromtrainer
  • trl
  • sft
  • generatedfromtrainer datasets:
  • HuggingFaceH4/ultrachat_200k model-index:
  • name: zephyr-7b-sft-full 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. -->

zephyr-7b-sft-full

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9353

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: 16
  • evalbatchsize: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 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: 1

Training results

Training LossEpochStepValidation Loss
0.90751.010900.9353

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.6
  • Tokenizers 0.15.0