Edit model card

results

This model is a fine-tuned version of pszemraj/led-base-book-summary on the pubmed-summarization dataset. It achieves the following results on the evaluation set:

  • Loss: 3.2597
  • Rouge1: 42.8608
  • Rouge2: 16.655
  • Rougel: 23.8425
  • Rougelsum: 38.0076
  • Gen Len: 273.807

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: 1e-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
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 1
  • label_smoothing_factor: 0.1

Training results

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2
Downloads last month
8
Safetensors
Model size
162M params
Tensor type
F32
·

Finetuned from

Evaluation results