bart-news-summary-v1
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5666
- Rouge1: 43.4876
- Rouge2: 20.5281
- Rougel: 30.427
- Rougelsum: 40.5702
- Gen Len: 76.261
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: 4e-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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4645 | 0.4 | 500 | 1.6301 | 41.9531 | 19.5988 | 29.3991 | 39.1894 | 84.099 |
| 1.4492 | 0.8 | 1000 | 1.5666 | 43.4876 | 20.5281 | 30.427 | 40.5702 | 76.261 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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