text-to-sparql-t5-small-2021-10-18_23-00
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2284
- Gen Len: 19.0
- Bertscorer-p: 0.5644
- Bertscorer-r: 0.0815
- Bertscorer-f1: 0.3120
- Sacrebleu-score: 5.5690
- Sacrebleu-precisions: [89.6746395837541, 79.06489438259324, 71.93407601726916, 67.21220306665607]
- Bleu-bp: 0.0728
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: 0.0003
- 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 | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions | Bleu-bp |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.2808 | 1.0 | 4772 | 0.2284 | 19.0 | 0.5644 | 0.0815 | 0.3120 | 5.5690 | [89.6746395837541, 79.06489438259324, 71.93407601726916, 67.21220306665607] | 0.0728 |
Framework versions
- Transformers 4.10.0
- Pytorch 1.9.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3