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distilbart-cnn-12-6-finetuned-1.2.3
This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0679
- Rouge1: 39.561
- Rouge2: 19.2826
- Rougel: 33.2976
- Rougelsum: 33.4508
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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 |
|---|---|---|---|---|---|---|---|
| 2.6987 | 1.0 | 98 | 2.2214 | 39.1186 | 19.1018 | 32.9027 | 33.0949 |
| 1.8484 | 2.0 | 196 | 2.0679 | 39.561 | 19.2826 | 33.2976 | 33.4508 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1
