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Pegasus-x-base-govreport-12288-numbeam-4
This model is a fine-tuned version of google/pegasus-x-base on the govreport-summarization dataset. It achieves the following results on the evaluation set:
- Loss: 1.6574
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 520
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2518 | 0.47 | 260 | 2.0102 |
| 1.9253 | 0.95 | 520 | 1.7893 |
| 1.8288 | 1.42 | 780 | 1.7076 |
| 1.8496 | 1.9 | 1040 | 1.6827 |
| 1.7718 | 2.37 | 1300 | 1.6665 |
| 1.7624 | 2.85 | 1560 | 1.6574 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
