metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - scientific_papers
model-index:
  - name: LED-finetuned-PUBMED8K
    results: []

LED-finetuned-PUBMED8K

This model is a fine-tuned version of allenai/led-base-16384 on the scientific_papers dataset. It achieves the following results on the evaluation set:

Loss: 2.7101
Rouge2 Precision: 0.096
Rouge2 Recall: 0.1461
Rouge2 Fmeasure: 0.1018

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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
2.9289	0.8	10	2.7294	0.1016	0.1442	0.0924

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3