chchen / Ministral-8B-Instruct-2410-PsyCourse-doc-fold1

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Total runs: 6
24-hour runs: 0
7-day runs: 3
30-day runs: 6
Model's Last Updated: February 05 2025

Introduction of Ministral-8B-Instruct-2410-PsyCourse-doc-fold1

Model Details of Ministral-8B-Instruct-2410-PsyCourse-doc-fold1

Ministral-8B-Instruct-2410-PsyCourse-doc-fold1

This model is a fine-tuned version of mistralai/Ministral-8B-Instruct-2410 on the course-doc-train-fold1 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0721
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
0.1495 0.3951 10 0.1355
0.0292 0.7901 20 0.0910
0.0626 1.1852 30 0.0797
0.0771 1.5802 40 0.0765
0.1056 1.9753 50 0.0743
0.0558 2.3704 60 0.0740
0.0488 2.7654 70 0.0728
0.0649 3.1605 80 0.0721
0.0235 3.5556 90 0.0722
0.0508 3.9506 100 0.0721
0.0334 4.3457 110 0.0724
0.0604 4.7407 120 0.0725
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 Ministral-8B-Instruct-2410-PsyCourse-doc-fold1 on huggingface.co

6
Total runs
0
24-hour runs
2
3-day runs
3
7-day runs
6
30-day runs

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