metadata
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-x-base-finetuned-multi-news
results: []
pegasus-x-base-finetuned-multi-news
This model is a fine-tuned version of google/pegasus-x-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3695
- Rouge1: 39.3711
- Rouge2: 13.3688
- Rougel: 22.2825
- Rougelsum: 33.911
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: 5.6e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.7281 | 1.0 | 625 | 2.3958 | 37.1778 | 12.486 | 21.2186 | 31.8237 |
| 2.4474 | 2.0 | 1250 | 2.3748 | 37.9969 | 12.951 | 21.7277 | 32.5926 |
| 2.3396 | 3.0 | 1875 | 2.3739 | 38.8944 | 13.3746 | 22.1289 | 33.5442 |
| 2.2637 | 4.0 | 2500 | 2.3645 | 38.2964 | 13.048 | 21.9356 | 32.8345 |
| 2.2019 | 5.0 | 3125 | 2.3699 | 38.8395 | 13.1676 | 22.0546 | 33.4517 |
| 2.1603 | 6.0 | 3750 | 2.3641 | 39.3608 | 13.5131 | 22.3133 | 33.8639 |
| 2.1346 | 7.0 | 4375 | 2.3695 | 39.3711 | 13.3688 | 22.2825 | 33.911 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3