bart-large-cnn-finetuned-paper
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.7509
- Rouge1: 27.2291
- Rouge2: 4.8436
- Rougel: 19.2576
- Rougelsum: 27.0591
- Gen Len: 513.0
Model description
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Intended uses & limitations
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Training and evaluation data
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Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 9.1371 | 1.0 | 125 | 6.9805 | 32.8773 | 5.5962 | 18.6551 | 32.6594 | 513.0 |
| 6.9049 | 2.0 | 250 | 6.8309 | 33.3706 | 5.7215 | 18.9109 | 33.0595 | 513.0 |
| 6.7776 | 3.0 | 375 | 6.7827 | 34.4481 | 5.8386 | 18.8797 | 34.0574 | 513.0 |
| 6.7029 | 4.0 | 500 | 6.7592 | 26.9866 | 4.8121 | 19.2095 | 26.8459 | 513.0 |
| 6.6832 | 5.0 | 625 | 6.7509 | 27.2291 | 4.8436 | 19.2576 | 27.0591 | 513.0 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
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facebook/bart-large-cnn