transformers tensorboard safetensors pegasus text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-finetuned-bill-117
  results: []
---

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# pegasus-finetuned-bill-117

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5613
- Rouge1: 0.4412
- Rouge2: 0.2895
- Rougel: 0.3835
- Rougelsum: 0.3837
- Gen Len: 36.47

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 5.3433        | 1.0   | 125  | 4.6582          | 0.426  | 0.2646 | 0.3612 | 0.3611    | 36.41   |
| 4.9605        | 2.0   | 250  | 4.5613          | 0.4412 | 0.2895 | 0.3835 | 0.3837    | 36.47   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
