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RichardErkhov/interview-eval_-_zephyr-7b-math-case-8-gguf

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

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zephyr-7b-math-case-8 - GGUF

  • —Model creator: https://huggingface.co/interview-eval/
  • —Original model: https://huggingface.co/interview-eval/zephyr-7b-math-case-8/

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/GSM8K model-index:
  • —name: zephyr-7b-math-case-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. -->

zephyr-7b-math-case-8

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the EunsuKim/GSM8K dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0276

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: 4
  • —totaltrainbatch_size: 32
  • —totalevalbatch_size: 32
  • —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
1.02011.040.8704
0.96762.080.6483
0.70533.0120.4601
0.47844.0160.2716
0.24875.0200.1375
0.24876.0240.0688
0.10487.0280.0426
0.05238.0320.0332
0.03549.0360.0287
0.028510.0400.0276

Framework versions

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