bart-large-cnn-samsum
This model is a fine-tuned version of philschmid/bart-large-cnn-samsum on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.4821
- Rouge1: 40.1703
- Rouge2: 20.2613
- Rougel: 30.8068
- Rougelsum: 37.4968
- Gen Len: 60.0366
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: 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 |
|---|---|---|---|---|---|---|---|---|
| 1.1917 | 1.0 | 7366 | 1.4821 | 40.1703 | 20.2613 | 30.8068 | 37.4968 | 60.0366 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.12.1
- Datasets 2.13.0
- Tokenizers 0.11.0
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