---
license: apache-2.0
base_model: google/bigbird-pegasus-large-pubmed
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bigbird-pegasus-large-pubmed-finetuned-legal-2
  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-legal-2

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: 3.0932
- Rouge1: 35.0046
- Rouge2: 14.6481
- Rougel: 20.8387
- Rougelsum: 32.3484
- Gen Len: 245.06

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 3.3208        | 1.0   | 6176 | 3.0932          | 35.0046 | 14.6481 | 20.8387 | 32.3484   | 245.06  |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3