summary-bbc-dataset-v3
This model is a fine-tuned version of ifyou819/summary-bbc-dataset-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4933
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-05
- 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 |
|---|---|---|---|
| 4.2223 | 1.0 | 389 | 4.4309 |
| 4.036 | 2.0 | 778 | 4.1116 |
| 4.5664 | 3.0 | 1167 | 3.7281 |
| 4.433 | 4.0 | 1556 | 3.5458 |
ROUGE
- ROUGE-1: 0.49982644153722755
- ROUGE-2: 0.3573461939690437
- ROUGE-L: 0.3885775705849566
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1
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