CoolFace
Modelpublic

chansung/mental_health_counseling_merged_v0.1

sourceHugging Facegemmaupdated 2y agoView on Hugging Face
3likes30downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

mentalhealthcounselingmergedv0.1

This model is a fine-tuned version of google/gemma-7b on the chansung/mentalhealthcounselingconversationsmerged dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.8529

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: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 6
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 24
  • —totalevalbatch_size: 12
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 5

Training results

Training LossEpochStepValidation Loss
0.89161.035580.8929
0.86912.071160.8701
0.81413.0106740.8574
0.8384.0142320.8494
0.76135.0177900.8529

Framework versions

  • —Transformers 4.41.1
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.19.1
  • —Tokenizers 0.19.1