flan-t5-small-finetuned-scientific-articles

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

flan-t5-small-finetuned-scientific-articles

This model is a fine-tuned version of google/flan-t5-small on the scientific_papers dataset. It achieves the following results on the evaluation set:

• Loss: 2.6792
• Rouge1: 8.0297
• Rouge2: 2.5421
• Rougel: 6.6908
• Rougelsum: 7.3431

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: 5.6e-05
• train_batch_size: 9
• eval_batch_size: 9
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 5

Training results

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1