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model
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0530
- Rouge1: 78.2421
- Rouge2: 75.2403
- Rougel: 78.1859
- Rougelsum: 78.1938
- 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0717 | 0.25 | 1000 | 0.0637 | 78.0577 | 74.8304 | 78.018 | 78.0236 | 19.0 |
| 0.0659 | 0.5 | 2000 | 0.0598 | 78.1871 | 75.0081 | 78.134 | 78.1354 | 19.0 |
| 0.0624 | 0.75 | 3000 | 0.0576 | 77.9279 | 74.7627 | 77.868 | 77.88 | 19.0 |
| 0.0597 | 1.01 | 4000 | 0.0563 | 78.1154 | 75.0171 | 78.0426 | 78.0522 | 19.0 |
| 0.0565 | 1.26 | 5000 | 0.0556 | 78.1454 | 75.0883 | 78.0991 | 78.1097 | 19.0 |
| 0.0528 | 1.51 | 6000 | 0.0549 | 78.3856 | 75.379 | 78.318 | 78.3263 | 19.0 |
| 0.0563 | 1.76 | 7000 | 0.0541 | 78.2664 | 75.1877 | 78.1834 | 78.1963 | 19.0 |
| 0.0535 | 2.01 | 8000 | 0.0540 | 78.1601 | 75.1107 | 78.0957 | 78.1042 | 19.0 |
| 0.0507 | 2.26 | 9000 | 0.0537 | 78.2119 | 75.137 | 78.1504 | 78.16 | 19.0 |
| 0.0513 | 2.51 | 10000 | 0.0533 | 78.1715 | 75.1571 | 78.1235 | 78.1272 | 19.0 |
| 0.052 | 2.76 | 11000 | 0.0530 | 78.2421 | 75.2403 | 78.1859 | 78.1938 | 19.0 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
