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RichardErkhov/interview-eval_-_zephyr-7b-math-test-gguf

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

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zephyr-7b-math-test - GGUF

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

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/MATH model-index:
  • —name: zephyr-7b-math-test results: [] ---

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zephyr-7b-math-test

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

  • —Loss: 0.0178

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: 16
  • —evalbatchsize: 8
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 4
  • —totaltrainbatch_size: 64
  • —totalevalbatch_size: 32
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
0.86841.050.7914
0.70312.0100.5349
0.48883.0150.3412
0.3024.0200.1902
0.16435.0250.0890
0.07786.0300.0416
0.04047.0350.0280
0.02798.0400.0219
0.02149.0450.0186
0.018310.0500.0178

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.4.1+cu124
  • —Datasets 2.21.0
  • —Tokenizers 0.19.1