| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: text-to-sparql-t5-small-2021-10-15_01-00 | |
| results: [] | |
| <!-- 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. --> | |
| # 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 | |