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RichardErkhov/interview-eval_-_zephyr-7b-stem-case-7-gguf

sourceHugging Faceupdated 1y agoView on Hugging Face
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Quantization made by Richard Erkhov.

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zephyr-7b-stem-case-7 - GGUF

  • Model creator: https://huggingface.co/interview-eval/
  • Original model: https://huggingface.co/interview-eval/zephyr-7b-stem-case-7/

Original model description: --- libraryname: transformers license: apache-2.0 basemodel: alignment-handbook/zephyr-7b-sft-full tags:

  • alignment-handbook
  • trl
  • sft
  • generatedfromtrainer
  • trl
  • sft
  • generatedfromtrainer datasets:
  • EunsuKim/instruct
  • scottsuk0306/DepthQA model-index:
  • name: zephyr-7b-stem-case-7 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-stem-case-7

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the EunsuKim/instruct and the scottsuk0306/DepthQA datasets. It achieves the following results on the evaluation set:

  • Loss: 0.0095

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: 1e-05
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • totaltrainbatch_size: 64
  • totalevalbatch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • lrschedulerwarmup_ratio: 0.03
  • num_epochs: 10

Training results

Training LossEpochStepValidation Loss
1.0351.070.8066
0.86122.0140.5046
0.44643.0210.2836
0.28724.0280.1444
0.11325.0350.0621
0.05556.0420.0280
0.03717.0490.0172
0.0178.0560.0122
0.01269.0630.0100
0.009910.0700.0095

Framework versions

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