bart-mawpnli-calcx
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1721
- Rouge1: 95.182
- Rouge2: 88.0785
- Rougel: 95.0205
- Rougelsum: 95.0114
- Gen Len: 14.5892
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: 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
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 426 | 0.1673 | 94.5945 | 86.1233 | 94.3034 | 94.3197 | 14.4437 |
0.2429 | 2.0 | 852 | 0.1457 | 94.7631 | 86.9333 | 94.5539 | 94.5633 | 14.4366 |
0.073 | 3.0 | 1278 | 0.1489 | 94.7349 | 87.5738 | 94.5739 | 94.5773 | 14.5833 |
0.0462 | 4.0 | 1704 | 0.1710 | 95.2312 | 88.2565 | 95.0116 | 94.9837 | 14.5646 |
0.0214 | 5.0 | 2130 | 0.1721 | 95.182 | 88.0785 | 95.0205 | 95.0114 | 14.5892 |
Framework versions
- Transformers 4.35.2
- Pytorch 1.12.1+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0
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