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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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