<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
sparql-qald9-t5-small-2021-10-19_22-32
This model is a fine-tuned version of yazdipour/text-to-sparql-t5-small-2021-10-19_10-17_lastDS 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: 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 | P | R | F1 | Bleu-score | Bleu-precisions | Bleu-bp |
|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 51 | 2.4477 | 19.0 | 0.3797 | 0.0727 | 0.2219 | 9.3495 | [73.47751849743882, 49.595519601742375, 35.346602608098834, 26.243305279265492] | 0.2180 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.14.0
- Tokenizers 0.10.3
