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sahlebrahim/example

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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example

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.7394

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: 0.0002
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 2
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
4.59260.923133.9699
4.04691.846263.4482
3.46922.769292.9892
2.24564.0132.5493
2.64624.9231162.3061
2.33355.8462192.1080
2.0986.7692221.9466
1.44788.0261.7940
1.82088.9231291.7453
1.26769.2308301.7394

Framework versions

  • —PEFT 0.12.0
  • —Transformers 4.42.4
  • —Pytorch 2.3.1+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1