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interview-eval/zephyr-7b-math-test-half

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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zephyr-7b-math-test-half

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: 0.0186

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
0.9691.031.2659
1.00582.060.7385
1.00583.090.4851
0.65264.0120.3110
0.32415.0150.1611
0.32416.0180.0703
0.10587.0210.0349
0.10588.0240.0240
0.0339.0270.0196
0.020210.0300.0186

Framework versions

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