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pegasus-tweet-sumL
This model is a fine-tuned version of transformersbook/pegasus-samsum on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6848
- Rouge1: 44.8046
- Rouge2: 23.4242
- Rougel: 36.5586
- Rougelsum: 41.3014
- Gen Len: 65.0861
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.2021 | 1.0 | 750 | 1.6848 | 44.8046 | 23.4242 | 36.5586 | 41.3014 | 65.0861 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
