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ALBADDAWI/ft-HuggingFaceH4-zephyr-7b-beta-qlora-v3

sourceHugging Facemitupdated 2y agoView on Hugging Face
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ft-HuggingFaceH4-zephyr-7b-beta-qlora-v3

This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.2700

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: 0.0005
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —gradientaccumulationsteps: 5
  • —totaltrainbatch_size: 80
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: constant
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 50
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
1.5662.551.3026
1.13595.0101.2779
0.91147.5151.3987
0.597210.0201.4944
0.293612.5251.8476
0.110415.0302.1923
0.031117.5352.5907
0.016820.0402.7176
0.013222.5452.8310
0.011525.0502.9147
0.010627.5553.0155
0.010330.0603.1027
0.010132.5653.1541
0.009935.0703.1883
0.009737.5753.2104
0.009540.0803.2204
0.009442.5853.2407
0.009545.0903.2554
0.009347.5953.2661
0.009450.01003.2700

Framework versions

  • —PEFT 0.9.0
  • —Transformers 4.38.2
  • —Pytorch 2.2.2+cu121
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2