---
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: []
---

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# SciFive-large-Pubmed_PMC-MedNLI-finetuned-biomedical

This model is a fine-tuned version of [razent/SciFive-large-Pubmed_PMC-MedNLI](https://huggingface.co/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: 1
- eval_batch_size: 1
- 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