---
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_4096
  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_4096

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: 6.4747
- Rouge1: 0.2081
- Rouge2: 0.0211
- Rougel: 0.149
- Rougelsum: 0.149
- Gen Len: 238.0973

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
| 7.0221        | 1.0   | 1301 | 6.6894          | 0.2067 | 0.0208 | 0.1466 | 0.1466    | 236.1568 |
| 6.6786        | 2.0   | 2602 | 6.4747          | 0.2081 | 0.0211 | 0.149  | 0.149     | 238.0973 |


### Framework versions

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