DanSumT5-large-finetuned-test_57626
This model is a fine-tuned version of Danish-summarisation/DanSumT5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5370
- Rouge1: 31.992
- Rouge2: 7.6605
- Rougel: 18.1676
- Rougelsum: 29.1825
- Gen Len: 126.27
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 200 | 2.5665 | 31.8442 | 7.5263 | 18.0111 | 29.1725 | 126.86 |
| No log | 2.0 | 400 | 2.5370 | 31.992 | 7.6605 | 18.1676 | 29.1825 | 126.27 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.0
- Datasets 2.12.0
- Tokenizers 0.13.3
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Model tree for emilstabil/DanSumT5-large-finetuned-test_42180
Base model
Danish-summarisation/DanSumT5-large