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This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3303
- Rouge1: 0.1597
- Rouge2: 0.0
- Rougel: 0.1349
- Rougelsum: 0.1334
- Gen Len: 18.7
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 6 | 3.5039 | 0.185 | 0.0105 | 0.1573 | 0.1576 | 15.7 |
| No log | 2.0 | 12 | 3.4680 | 0.1915 | 0.0105 | 0.1747 | 0.174 | 16.9 |
| No log | 3.0 | 18 | 3.4331 | 0.1579 | 0.0105 | 0.1308 | 0.1282 | 17.4 |
| No log | 4.0 | 24 | 3.4049 | 0.1579 | 0.0105 | 0.1308 | 0.1282 | 17.8 |
| No log | 5.0 | 30 | 3.3817 | 0.1716 | 0.0091 | 0.1476 | 0.1434 | 18.5 |
| No log | 6.0 | 36 | 3.3638 | 0.1323 | 0.0 | 0.1176 | 0.116 | 17.1 |
| No log | 7.0 | 42 | 3.3497 | 0.1597 | 0.0 | 0.1349 | 0.1334 | 18.7 |
| No log | 8.0 | 48 | 3.3394 | 0.1597 | 0.0 | 0.1349 | 0.1334 | 18.7 |
| No log | 9.0 | 54 | 3.3332 | 0.1597 | 0.0 | 0.1349 | 0.1334 | 18.7 |
| No log | 10.0 | 60 | 3.3303 | 0.1597 | 0.0 | 0.1349 | 0.1334 | 18.7 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
