pegasus-xsum-finetuned-keyfindings
This model is a fine-tuned version of google/pegasus-xsum on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5754
- Rouge1: 49.1483
- Rouge2: 26.7485
- Rougel: 40.7712
- Rougelsum: 40.7847
- Gen Len: 31.5733
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 300 | 1.5754 | 49.1483 | 26.7485 | 40.7712 | 40.7847 | 31.5733 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
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Model tree for basvreeman/pegasus-xsum-finetuned-keyfindings
Base model
google/pegasus-xsum