pegasus-samsum-summarization
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: 1.3457
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: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2.5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4048 | 0.5430 | 500 | 1.3786 |
| 1.305 | 1.0861 | 1000 | 1.3657 |
| 1.3105 | 1.6291 | 1500 | 1.3493 |
| 1.2527 | 2.1721 | 2000 | 1.3457 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for Khushiee/pegasus-samsum-summarization
Base model
google/pegasus-cnn_dailymail