---
base_model: google/pegasus-large
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: SocialSciencePegasusLargeModel
  results: []
---

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

This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.7391
- Rouge1: 43.2515
- Rouge2: 13.5819
- Rougel: 29.2476
- Rougelsum: 39.2268
- Bertscore Precision: 76.5154
- Bertscore Recall: 81.3593
- Bertscore F1: 78.854
- Bleu: 0.1036
- Gen Len: 191.3589

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bertscore Precision | Bertscore Recall | Bertscore F1 | Bleu   | Gen Len  |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------------------:|:----------------:|:------------:|:------:|:--------:|
| 6.1745        | 0.3943 | 300  | 5.9613          | 40.1903 | 12.4753 | 28.1708 | 36.7059   | 75.8626             | 80.8932          | 78.2884      | 0.0959 | 191.3589 |
| 5.8826        | 0.7885 | 600  | 5.7391          | 43.2515 | 13.5819 | 29.2476 | 39.2268   | 76.5154             | 81.3593          | 78.854       | 0.1036 | 191.3589 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.2.1
- Tokenizers 0.19.1