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seq2sparql
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 0.0
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: 4e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.3521 | 0.08 | 1000 | 0.1646 | 32.2799 | 27.7633 | 32.293 | 32.2772 | 19.0 |
| 0.1979 | 0.15 | 2000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.23 | 3000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.31 | 4000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.38 | 5000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.46 | 6000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.54 | 7000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.62 | 8000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.69 | 9000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.77 | 10000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.85 | 11000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.92 | 12000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 1.0 | 13000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
