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summarizer
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: 2.4858
- Rouge1: 50.2321
- Rouge2: 24.0325
- Rougel: 45.4209
- Rougelsum: 45.4669
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: 5.6e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.324 | 1.0 | 460 | 1.8943 | 49.6772 | 24.3924 | 45.0788 | 45.1276 |
| 1.5791 | 2.0 | 920 | 1.8899 | 49.6626 | 24.2944 | 45.2762 | 45.4145 |
| 1.0975 | 3.0 | 1380 | 1.9199 | 49.725 | 24.1088 | 44.9682 | 45.0787 |
| 0.7581 | 4.0 | 1840 | 2.1324 | 48.8128 | 22.5742 | 44.3464 | 44.3182 |
| 0.5103 | 5.0 | 2300 | 2.3014 | 49.5098 | 23.3978 | 44.8389 | 44.9802 |
| 0.3448 | 6.0 | 2760 | 2.3828 | 49.8076 | 23.3584 | 44.7778 | 44.8633 |
| 0.2394 | 7.0 | 3220 | 2.4564 | 49.3934 | 23.7093 | 44.486 | 44.6473 |
| 0.1763 | 8.0 | 3680 | 2.4858 | 50.2321 | 24.0325 | 45.4209 | 45.4669 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
