text-to-sparql-t5-small-2021-10-18_09-32
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5119
- Gen Len: 19.0
- P: 0.4884
- R: 0.0583
- F1: 0.2646
- Score: 3.5425
- Bleu-precisions: [82.80295919500207, 62.695879280325016, 50.2215675749897, 44.03052700138759]
- Bleu-bp: 0.0609
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: 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Gen Len | P | R | F1 | Score | Bleu-precisions | Bleu-bp |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.7088 | 1.0 | 4772 | 0.5119 | 19.0 | 0.4884 | 0.0583 | 0.2646 | 3.5425 | [82.80295919500207, 62.695879280325016, 50.2215675749897, 44.03052700138759] | 0.0609 |
Framework versions
- Transformers 4.10.0
- Pytorch 1.9.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3