nb-mt5-base-finetuned-no-email-summary
This model is a fine-tuned version of NbAiLab/nb-mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.0562
- Rouge1: 23.2345
- Rouge2: 9.8761
- Rougel: 21.7798
- Rougelsum: 21.7753
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|---|---|---|---|
| 13.949 | 1.0 | 785 | 7.1715 | 2.2238 | 0.0 | 2.2256 | 2.2308 |
| 7.0892 | 2.0 | 1570 | 5.8052 | 12.5372 | 3.2395 | 12.1514 | 12.1407 |
| 5.9863 | 3.0 | 2355 | 5.0910 | 18.7517 | 6.61 | 17.5784 | 17.6163 |
| 5.3048 | 4.0 | 3140 | 4.6418 | 19.8868 | 7.6496 | 18.5489 | 18.5228 |
| 4.8419 | 5.0 | 3925 | 4.3614 | 19.7772 | 7.714 | 18.6827 | 18.6603 |
| 4.5517 | 6.0 | 4710 | 4.1811 | 22.1143 | 8.8939 | 20.6157 | 20.6484 |
| 4.3651 | 7.0 | 5495 | 4.0683 | 22.7613 | 9.6087 | 21.2802 | 21.297 |
| 4.2712 | 8.0 | 6280 | 4.0562 | 23.2345 | 9.8761 | 21.7798 | 21.7753 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
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