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bbc_news_summary_with_cleaned_data
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3312
- Rouge1: 0.1758
- Rouge2: 0.1141
- Rougel: 0.1579
- Rougelsum: 0.1579
- Gen Len: 19.0
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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 112 | 0.4632 | 0.1657 | 0.1025 | 0.1477 | 0.1475 | 19.0 |
| No log | 2.0 | 224 | 0.3587 | 0.1705 | 0.1053 | 0.1514 | 0.1513 | 19.0 |
| No log | 3.0 | 336 | 0.3367 | 0.1739 | 0.1113 | 0.1558 | 0.1557 | 19.0 |
| No log | 4.0 | 448 | 0.3312 | 0.1758 | 0.1141 | 0.1579 | 0.1579 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
