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interview-eval/zephyr-7b-stem-train

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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zephyr-7b-stem-train

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: 0.4842

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: 8
  • totaltrainbatch_size: 128
  • 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
1.11391.011.1133
1.11392.021.2947
1.11393.031.0840
1.11394.040.8533
1.08745.050.7534
1.08746.060.6295
1.08747.070.5679
1.08748.080.5225
1.08749.090.4936
0.592810.0100.4842

Framework versions

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