DanSumT5-baseV_13284V_36974
This model is a fine-tuned version of emilstabil/DanSumT5-baseV_13284 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0893
- Rouge1: 34.9084
- Rouge2: 12.0759
- Rougel: 21.8064
- Rougelsum: 32.5673
- Gen Len: 125.2827
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: 3e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 11
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 79 | 2.1219 | 35.0897 | 11.9215 | 21.754 | 32.7137 | 125.2025 |
No log | 1.99 | 158 | 2.1200 | 34.8528 | 12.0209 | 21.7675 | 32.5084 | 125.5612 |
No log | 2.99 | 237 | 2.1127 | 34.9594 | 11.9696 | 21.698 | 32.5483 | 126.0549 |
No log | 4.0 | 317 | 2.1042 | 34.6163 | 11.9576 | 21.82 | 32.3802 | 125.6751 |
No log | 5.0 | 396 | 2.1058 | 35.3397 | 12.3246 | 22.2113 | 33.095 | 126.0422 |
No log | 5.99 | 475 | 2.0987 | 35.012 | 12.1749 | 21.895 | 32.7336 | 125.9958 |
2.0966 | 6.99 | 554 | 2.0969 | 35.1359 | 12.1652 | 21.8921 | 32.7933 | 125.9283 |
2.0966 | 8.0 | 634 | 2.0940 | 35.0078 | 12.1916 | 21.9206 | 32.6762 | 125.1646 |
2.0966 | 9.0 | 713 | 2.0925 | 34.8858 | 12.0673 | 21.8894 | 32.5213 | 125.3797 |
2.0966 | 9.99 | 792 | 2.0896 | 34.747 | 11.9854 | 21.8049 | 32.3432 | 125.3924 |
2.0966 | 10.97 | 869 | 2.0893 | 34.9084 | 12.0759 | 21.8064 | 32.5673 | 125.2827 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.12.1+git7548e2f
- Datasets 2.13.2
- Tokenizers 0.13.3
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