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: 3.2031
- Rouge1: 42.9685
- Rouge2: 16.6913
- Rougel: 24.0898
- Rougelsum: 38.3268
- Gen Len: 272.131
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: 8e-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: 1000
- 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
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Base model
pszemraj/led-base-book-summaryEvaluation results
- Rouge1 on pubmed-summarizationvalidation set self-reported42.968