plain-bart-on-presummarized-to-story-wcep
This model is a fine-tuned version of sshleifer/distilbart-cnn-6-6 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3683
- Rouge1: 34.6044
- Rouge2: 13.4823
- Rougel: 24.3208
- Rougelsum: 27.9903
- Gen Len: 66.4687
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.4933 | 1.0 | 510 | 2.3683 | 34.6044 | 13.4823 | 24.3208 | 27.9903 | 66.4687 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for roofdancer/plain-bart-on-presummarized-to-story-wcep
Base model
sshleifer/distilbart-cnn-6-6