bart-large-cnn-finetuned-split-laws
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8724
- Rouge1: 36.1748
- Rouge2: 17.1919
- Rougel: 28.1489
- Rougelsum: 29.0824
- Gen Len: 80.053
Model description
More information needed
Intended uses & limitations
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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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.0279 | 1.0 | 1185 | 1.8724 | 36.1748 | 17.1919 | 28.1489 | 29.0824 | 80.053 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for viktor-shevchuk/bart-large-cnn-finetuned-split-laws
Base model
facebook/bart-large-cnn