summary-bbc-dataset-v2
This model is a fine-tuned version of ifyou819/summary-bbc-dataset-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.8697
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-08
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.9247 | 1.0 | 389 | 4.9693 |
| 4.9341 | 2.0 | 778 | 4.9683 |
| 5.6874 | 3.0 | 1167 | 4.9678 |
| 6.2784 | 4.0 | 1556 | 4.9677 |
ROUGE
- ROUGE-1: 0.4567905034907663
- ROUGE-2: 0.2939293924514318
- ROUGE-L: 0.3624846013735323
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1
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