summary-bbc-dataset-v6
This model is a fine-tuned version of ifyou819/summary-bbc-dataset-v5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1532
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3584 | 1.0 | 100 | 1.1533 |
| 1.6453 | 2.0 | 200 | 1.1533 |
| 1.4439 | 3.0 | 300 | 1.1533 |
| 1.4338 | 4.0 | 400 | 1.1532 |
| 1.5266 | 5.0 | 500 | 1.1532 |
ROUGE
- ROUGE-1: 0.5341943524066477
- ROUGE-2: 0.3911030610318238
- ROUGE-L: 0.4204449670524875
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1
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