---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bigbird-pegasus-large-pubmed-finetuned-xsum
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bigbird-pegasus-large-pubmed-finetuned-xsum

This model is a fine-tuned version of [google/bigbird-pegasus-large-pubmed](https://huggingface.co/google/bigbird-pegasus-large-pubmed) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1579
- Rouge1: 12.9783
- Rouge2: 0.7286
- Rougel: 12.2627
- Rougelsum: 6.2341
- Gen Len: 156.0

## 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: 0.002
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 27   | 4.2817          | 0.0     | 0.0    | 0.0     | 0.0       | 256.0   |
| No log        | 2.0   | 54   | 3.1579          | 12.9783 | 0.7286 | 12.2627 | 6.2341    | 156.0   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2