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metadata
base_model: razent/SciFive-large-Pubmed_PMC-MedNLI
tags:
  - generated_from_trainer
datasets:
  - sem_eval_2024_task_2
model-index:
  - name: SciFive-large-Pubmed_PMC-MedNLI-finetuned-biomedical
    results: []

SciFive-large-Pubmed_PMC-MedNLI-finetuned-biomedical

This model is a fine-tuned version of razent/SciFive-large-Pubmed_PMC-MedNLI on the sem_eval_2024_task_2 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: 2e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0