metadata
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: pegasus_paraphrase
results: []
pegasus_paraphrase
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8274
- Bleu: 18.1989
- Gen Len: 10.1252
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 |
|---|---|---|---|---|---|
| No log | 1.0 | 316 | 2.8784 | 15.735 | 10.3708 |
| 2.814 | 2.0 | 632 | 2.8274 | 18.1989 | 10.1252 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2