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pegasus-text-simplification_1e4_adafactor_wikilarge_20epici
This model is a fine-tuned version of google/pegasus-x-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3934
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9542 | 1.0 | 803 | 0.3416 |
| 0.3111 | 2.0 | 1606 | 0.3372 |
| 0.2919 | 3.0 | 2409 | 0.3356 |
| 0.2659 | 4.0 | 3212 | 0.3389 |
| 0.2476 | 5.0 | 4015 | 0.3421 |
| 0.2351 | 6.0 | 4818 | 0.3474 |
| 0.2215 | 7.0 | 5621 | 0.3496 |
| 0.2141 | 8.0 | 6424 | 0.3548 |
| 0.2015 | 9.0 | 7227 | 0.3607 |
| 0.1921 | 10.0 | 8030 | 0.3628 |
| 0.1863 | 11.0 | 8833 | 0.3706 |
| 0.1794 | 12.0 | 9636 | 0.3734 |
| 0.1753 | 13.0 | 10439 | 0.3781 |
| 0.1697 | 14.0 | 11242 | 0.3814 |
| 0.1659 | 15.0 | 12045 | 0.3839 |
| 0.1626 | 16.0 | 12848 | 0.3878 |
| 0.1591 | 17.0 | 13651 | 0.3890 |
| 0.1575 | 18.0 | 14454 | 0.3921 |
| 0.1556 | 19.0 | 15257 | 0.3921 |
| 0.1545 | 20.0 | 16060 | 0.3934 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
