pegasus
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pegasus-ft
This model is a fine-tuned version of haesun/pegasus-samsum on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9779
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: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1074 | 0.19 | 100 | 2.0692 |
| 1.9296 | 0.37 | 200 | 2.0481 |
| 1.9456 | 0.56 | 300 | 2.0364 |
| 1.9674 | 0.74 | 400 | 2.0205 |
| 2.0887 | 0.93 | 500 | 2.0043 |
| 2.0733 | 1.11 | 600 | 2.0023 |
| 1.9111 | 1.3 | 700 | 1.9991 |
| 1.887 | 1.48 | 800 | 1.9917 |
| 2.0347 | 1.67 | 900 | 1.9855 |
| 1.8488 | 1.85 | 1000 | 1.9838 |
| 1.7699 | 2.04 | 1100 | 1.9800 |
| 1.7386 | 2.22 | 1200 | 1.9795 |
| 1.8828 | 2.41 | 1300 | 1.9804 |
| 1.8072 | 2.59 | 1400 | 1.9808 |
| 1.898 | 2.78 | 1500 | 1.9785 |
| 1.9452 | 2.96 | 1600 | 1.9779 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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