---
library_name: transformers
base_model: google/pegasus-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-large_1742608050.119433
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pegasus-large_1742608050.119433

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: 4.8799
- Rouge1: 46.7629
- Rouge2: 17.2538
- Rougel: 27.775
- Rougelsum: 32.6028
- Gen Len: 85.8611

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 331  | 5.1130          | 48.5686 | 16.6489 | 28.3029 | 32.3136   | 71.2562 |
| 5.3363        | 2.0   | 662  | 5.0415          | 49.2151 | 17.0482 | 28.5422 | 32.4827   | 70.0833 |
| 5.3363        | 3.0   | 993  | 4.9860          | 48.9739 | 17.1901 | 28.4601 | 32.6516   | 72.8179 |
| 5.0157        | 4.0   | 1324 | 4.9619          | 48.2866 | 17.4271 | 28.1784 | 32.8011   | 77.8704 |
| 4.9426        | 5.0   | 1655 | 4.9329          | 48.7697 | 17.7741 | 28.6454 | 33.1256   | 76.4846 |
| 4.9426        | 6.0   | 1986 | 4.9133          | 48.0678 | 17.7361 | 28.3205 | 32.9328   | 79.4753 |
| 4.863         | 7.0   | 2317 | 4.8973          | 47.1789 | 17.4753 | 27.9637 | 32.7952   | 85.8056 |
| 4.8272        | 8.0   | 2648 | 4.8786          | 47.3498 | 17.2852 | 27.9143 | 32.7426   | 82.9198 |
| 4.8272        | 9.0   | 2979 | 4.8805          | 47.1749 | 17.4155 | 27.8944 | 32.7537   | 85.1111 |
| 4.7888        | 10.0  | 3310 | 4.8799          | 46.7629 | 17.2538 | 27.775  | 32.6028   | 85.8611 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0