transformers safetensors led text2text-generation generated_from_trainer dataset:pubmed-summarization base_model:pszemraj/led-base-book-summary base_model:finetune:pszemraj/led-base-book-summary license:bsd-3-clause model-index autotrain_compatible endpoints_compatible region:us
---
base_model: pszemraj/led-base-book-summary
datasets:
- pubmed-summarization
license: bsd-3-clause
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: results
  results:
  - task:
      type: text2text-generation
      name: Sequence-to-sequence Language Modeling
    dataset:
      name: pubmed-summarization
      type: pubmed-summarization
      config: section
      split: validation
      args: section
    metrics:
    - type: rouge
      value: 42.8608
      name: Rouge1
---

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# results

This model is a fine-tuned version of [pszemraj/led-base-book-summary](https://huggingface.co/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
