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: 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