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Pegasus-x-large-govreport-16384-v1
This model is a fine-tuned version of google/pegasus-x-large on the govreport-summarization dataset. It achieves the following results on the evaluation set:
- Loss: 1.7906
{'rouge1': 0.3799945422752766, 'rouge2': 0.13330489037964283, 'rougeL': 0.20286782078588178, 'rougeLsum': 0.20295962489635094}
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- 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: 400
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9445 | 0.73 | 400 | 1.7907 |
| 1.9992 | 1.46 | 800 | 1.7906 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
