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bart-cnn-science-v3-e2
This model is a fine-tuned version of theojolliffe/bart-cnn-science on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9352
- Rouge1: 52.5497
- Rouge2: 32.5507
- Rougel: 35.0014
- Rougelsum: 50.0575
- Gen Len: 141.5741
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 398 | 1.0023 | 52.0744 | 31.917 | 33.2804 | 49.6569 | 142.0 |
| 1.1851 | 2.0 | 796 | 0.9352 | 52.5497 | 32.5507 | 35.0014 | 50.0575 | 141.5741 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
