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fine-tuned-medical-qa-V8

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metadata
library_name: transformers
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
model-index:
  - name: fine-tuned-medical-qa-V8
    results: []
datasets:
  - ccdv/pubmed-summarization

fine-tuned-medical-qa-V8

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.

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: 0.0005
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 2
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 0.5
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.14.0
  • Transformers 4.47.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0