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RichardErkhov/interview-eval_-_zephyr-7b-stem-case-3-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-3 - GGUF

  • Model creator: https://huggingface.co/interview-eval/
  • Original model: https://huggingface.co/interview-eval/zephyr-7b-stem-case-3/

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:
  • scottsuk0306/DepthQA model-index:
  • name: zephyr-7b-stem-case-3 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-3

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

  • Loss: 0.0406

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
1.10021.021.2712
1.10022.040.8801
1.08593.060.6101
1.08594.080.4419
0.54655.0100.2620
0.54656.0120.1413
0.54657.0140.0808
0.16218.0160.0535
0.16219.0180.0429
0.050410.0200.0406

Framework versions

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