metadata
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: pegasus-ema
results: []
pegasus-ema
This model is a fine-tuned version of google/pegasus-xsum on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4231
- Bleu: 23.4605
- Gen Len: 28.5478
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: 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.1536 | 1.0 | 998 | 1.6949 | 19.266 | 27.0691 |
| 1.8558 | 2.0 | 1996 | 1.4231 | 23.4605 | 28.5478 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2