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text-to-sparql-t5-small-2021-10-15_01-00
This model was trained from scratch on the None dataset.
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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Gen Len | P | R | F1 | Bleu-score | Bleu-precisions | Bleu-bp |
|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 26 | 4.1488 | 19.0 | 0.2368 | -0.0304 | 0.1003 | 0.8868 | [56.84848484848485, 25.0, 8.88888888888889, 0.041666666666666664] | 0.1851 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.13.2
- Tokenizers 0.10.3
