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t5-large-qa
This model is a fine-tuned version of t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1241
- Rouge1: 77.7328
- Rouge2: 66.0005
- Rougel: 77.1753
- Rougelsum: 77.1453
- 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: 5e-05
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 306 | 0.1274 | 77.6174 | 66.4422 | 77.0276 | 77.0702 | 19.0 |
| 0.1965 | 2.0 | 612 | 0.1241 | 77.7328 | 66.0005 | 77.1753 | 77.1453 | 19.0 |
| 0.1965 | 3.0 | 918 | 0.1310 | 77.8688 | 67.4016 | 77.5375 | 77.5445 | 19.0 |
| 0.083 | 4.0 | 1224 | 0.1385 | 78.1193 | 67.0951 | 77.5954 | 77.63 | 19.0 |
| 0.0474 | 5.0 | 1530 | 0.1464 | 78.1002 | 67.0309 | 77.5527 | 77.5764 | 19.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
