---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: led-base-16384-biolaysum-elife-baseline
  results: []
---

<!-- 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. -->

# led-base-16384-biolaysum-elife-baseline

This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3507
- Rouge1: 0.4610
- Rouge2: 0.1288
- Rougel: 0.2083
- Rougelsum: 0.2083

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.5385        | 0.92  | 1000 | 2.4379          | 0.4508 | 0.1237 | 0.2020 | 0.2021    |
| 2.2866        | 1.84  | 2000 | 2.3789          | 0.4512 | 0.1274 | 0.2063 | 0.2063    |
| 2.1157        | 2.76  | 3000 | 2.3597          | 0.4559 | 0.1268 | 0.2031 | 0.2032    |
| 1.9981        | 3.68  | 4000 | 2.3507          | 0.4610 | 0.1288 | 0.2083 | 0.2083    |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.12.1