bart-large-cnn-finetuned-news
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: 1.3140
- Rouge1: 43.3495
- Rouge2: 23.6117
- Rougel: 38.1501
- Rougelsum: 38.2575
- Gen Len: 57.9701
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: 3e-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 |
|---|---|---|---|---|---|---|---|---|
| 0.8149 | 1.0 | 2313 | 1.3140 | 43.3495 | 23.6117 | 38.1501 | 38.2575 | 57.9701 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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Model tree for viktor-shevchuk/bart-large-cnn-finetuned-news
Base model
facebook/bart-large-cnn