bart-large-cnn-summarizer_03
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: 1.0999
- Rouge1: 51.6222
- Rouge2: 33.428
- Rougel: 40.2093
- Rougelsum: 47.7154
- Gen Len: 102.7962
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.9348 | 1.0 | 17166 | 0.9969 | 51.0763 | 32.9497 | 39.6851 | 47.0744 | 99.664 |
| 0.7335 | 2.0 | 34332 | 1.0019 | 51.8002 | 33.8081 | 40.5887 | 47.9445 | 99.7884 |
| 0.471 | 3.0 | 51498 | 1.0999 | 51.6222 | 33.428 | 40.2093 | 47.7154 | 102.7962 |
Framework versions
- Transformers 4.12.3
- Pytorch 1.9.0+cu111
- Datasets 1.15.1
- Tokenizers 0.10.3
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Base model
facebook/bart-large-cnn