summary-bbc-dataset-v4
This model is a fine-tuned version of ifyou819/summary-bbc-dataset-v3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2621
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: 1e-06
- 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 |
|---|---|---|---|
| 3.2299 | 1.0 | 389 | 3.4385 |
| 3.56 | 2.0 | 778 | 3.3635 |
| 4.2156 | 3.0 | 1167 | 3.3195 |
| 4.1832 | 4.0 | 1556 | 3.3035 |
ROUGE
- ROUGE-1: 0.5040214396428574
- ROUGE-2: 0.3629922009566342
- ROUGE-L: 0.3890022946297522
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1
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