---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- rouge
base_model: google/bigbird-pegasus-large-bigpatent
model-index:
- name: bigbird_lora_multi_lexsum
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bigbird_lora_multi_lexsum

This model is a fine-tuned version of [google/bigbird-pegasus-large-bigpatent](https://huggingface.co/google/bigbird-pegasus-large-bigpatent) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 9.1007
- Rouge1: 0.197
- Rouge2: 0.0165
- Rougel: 0.1446
- Rougelsum: 0.1445
- Gen Len: 235.208

## 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
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 9.2003        | 1.0   | 850  | 9.1012          | 0.1982 | 0.0162 | 0.1439 | 0.1441    | 234.016 |
| 9.151         | 2.0   | 1700 | 9.1007          | 0.197  | 0.0165 | 0.1446 | 0.1445    | 235.208 |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2