pegasus-samsum
This model is a fine-tuned version of google/pegasus-cnn_dailymail on the SAMsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.3374
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5449 | 0.5431 | 500 | 1.4638 |
| 1.365 | 1.0863 | 1000 | 1.3894 |
| 1.3509 | 1.6294 | 1500 | 1.3562 |
| 1.3311 | 2.1726 | 2000 | 1.3449 |
| 1.2358 | 2.7157 | 2500 | 1.3374 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for ch4m3l1on/pegasus-samsum
Base model
google/pegasus-cnn_dailymail