test-dialogue-summarization
This model is a fine-tuned version of facebook/bart-large-xsum on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.7499
- Rouge1: 53.8085
- Rouge2: 28.9627
- Rougel: 44.3913
- Rougelsum: 49.5056
- Gen Len: 30.2237
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.3909 | 1.0 | 1841 | 1.5591 | 52.8029 | 28.5133 | 43.7896 | 48.3986 | 25.8386 |
| 1.0938 | 2.0 | 3683 | 1.4337 | 54.5987 | 29.195 | 44.2764 | 49.9201 | 31.9071 |
| 0.856 | 3.0 | 5524 | 1.5402 | 54.2077 | 29.0463 | 44.3965 | 49.6877 | 29.4597 |
| 0.6704 | 4.0 | 7366 | 1.6280 | 54.2616 | 29.5501 | 44.5626 | 49.7599 | 29.967 |
| 0.548 | 5.0 | 9205 | 1.7499 | 53.8085 | 28.9627 | 44.3913 | 49.5056 | 30.2237 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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