CoolFace
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mohityadav/mental-health-advisorGpt

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

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working

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

  • —Loss: 1.2984

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
3.11390.9412122.3084
1.91911.9608251.7055
1.60832.9804381.5741
1.4964.0511.4695
1.53094.9412631.4038
1.36275.9608761.3573
1.31116.9804891.3281
1.29958.01021.3092
1.38668.94121141.2998
1.189.41181201.2984

Framework versions

  • —PEFT 0.11.1
  • —Transformers 4.41.2
  • —Pytorch 2.1.2
  • —Datasets 2.19.2
  • —Tokenizers 0.19.1