chchen / MentaLLaMA-chat-7B-PsyCourse-doc-info-fold4

huggingface.co
Total runs: 11
24-hour runs: 0
7-day runs: -3
30-day runs: 7
Model's Last Updated: May 03 2025

Introduction of MentaLLaMA-chat-7B-PsyCourse-doc-info-fold4

Model Details of MentaLLaMA-chat-7B-PsyCourse-doc-info-fold4

MentaLLaMA-chat-7B-PsyCourse-doc-info-fold4

This model is a fine-tuned version of klyang/MentaLLaMA-chat-7B-hf on the course-doc-info-train-fold4 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0882
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
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 16
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 5.0
Training results
Training Loss Epoch Step Validation Loss
0.3967 0.3951 10 0.4004
0.4552 0.7901 20 0.2511
0.1757 1.1852 30 0.1820
0.1409 1.5802 40 0.1474
0.1122 1.9753 50 0.1285
0.2986 2.3704 60 0.1134
0.0918 2.7654 70 0.1039
0.0807 3.1605 80 0.0966
0.0862 3.5556 90 0.0924
0.085 3.9506 100 0.0891
0.101 4.3457 110 0.0883
0.0736 4.7407 120 0.0882
Framework versions
  • PEFT 0.12.0
  • Transformers 4.46.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of chchen MentaLLaMA-chat-7B-PsyCourse-doc-info-fold4 on huggingface.co

11
Total runs
0
24-hour runs
0
3-day runs
-3
7-day runs
7
30-day runs

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MentaLLaMA-chat-7B-PsyCourse-doc-info-fold4 install

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