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BBC
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2824
- Rouge1: 18.46
- Rouge2: 17.0488
- Rougel: 18.3552
- Rougelsum: 18.3466
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: 5.6e-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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.7104 | 1.0 | 445 | 0.3218 | 17.4866 | 15.2567 | 17.0429 | 17.1216 |
| 0.3433 | 2.0 | 890 | 0.3039 | 17.7632 | 15.8878 | 17.4551 | 17.5161 |
| 0.3116 | 3.0 | 1335 | 0.2912 | 18.175 | 16.4391 | 17.9597 | 18.0081 |
| 0.2908 | 4.0 | 1780 | 0.2869 | 18.2832 | 16.6726 | 18.1187 | 18.1205 |
| 0.273 | 5.0 | 2225 | 0.2829 | 18.2807 | 16.7359 | 18.1496 | 18.1621 |
| 0.2625 | 6.0 | 2670 | 0.2819 | 18.3845 | 16.8793 | 18.2622 | 18.2561 |
| 0.2482 | 7.0 | 3115 | 0.2801 | 18.4748 | 17.0796 | 18.3792 | 18.3672 |
| 0.2454 | 8.0 | 3560 | 0.2824 | 18.46 | 17.0488 | 18.3552 | 18.3466 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
