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