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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: led-base-16384-biolaysum-both-wiki_simple
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-both-wiki_simple
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: 2.1579
- Rouge1: 0.4549
- Rouge2: 0.1558
- Rougel: 0.2432
- Rougelsum: 0.2434
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.2754 | 0.69 | 5000 | 2.2223 | 0.4507 | 0.1525 | 0.2422 | 0.2425 |
| 2.0405 | 1.37 | 10000 | 2.1579 | 0.4549 | 0.1558 | 0.2432 | 0.2434 |
| 1.9239 | 2.06 | 15000 | 2.1239 | 0.4543 | 0.1525 | 0.2396 | 0.2399 |
| 1.9041 | 2.75 | 20000 | 2.1120 | 0.4575 | 0.1547 | 0.2413 | 0.2415 |
| 1.7812 | 3.43 | 25000 | 2.1006 | 0.4532 | 0.1518 | 0.2400 | 0.2401 |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.12.1
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