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chchen/MentaLLaMA-chat-7B-PsyCourse-info-chain-fold10

sourceHugging Facemitupdated 1y agoView on Hugging Face
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MentaLLaMA-chat-7B-PsyCourse-info-chain-fold10

This model is a fine-tuned version of klyang/MentaLLaMA-chat-7B-hf on the course-info-chain-train-fold10 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0737

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: 0.0001
  • —trainbatchsize: 1
  • —evalbatchsize: 1
  • —seed: 42
  • —gradientaccumulationsteps: 16
  • —totaltrainbatch_size: 16
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 5.0

Training results

Training LossEpochStepValidation Loss
0.37880.3951100.2946
0.15130.7901200.1412
0.10041.1852300.1093
0.13961.5802400.0945
0.09441.9753500.0900
0.08922.3704600.0820
0.09792.7654700.0765
0.05743.1605800.0779
0.06063.5556900.0754
0.05823.95061000.0746
0.05134.34571100.0737
0.07584.74071200.0738

Framework versions

  • —PEFT 0.12.0
  • —Transformers 4.46.1
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.1.0
  • —Tokenizers 0.20.3