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my-final-v1-text-to-sparql-combined-dataset-t5-small-2023-05-10_07-44
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4073
- Gen Len: 19.0
- Bertscorer-p: 0.4980
- Bertscorer-r: 0.1017
- Bertscorer-f1: 0.2920
- Sacrebleu-score: 5.8855
- Sacrebleu-precisions: [77.05727215080417, 62.5240589596784, 50.651199136696, 44.790044963147636]
- Bleu-bp: 0.1024
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions | Bleu-bp |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.5032 | 1.0 | 7822 | 0.4629 | 19.0 | 0.4897 | 0.1066 | 0.2908 | 5.9440 | [75.58761664102093, 59.98349638586719, 47.124791651568955, 40.69508501229539] | 0.1095 |
| 0.4506 | 2.0 | 15644 | 0.4219 | 19.0 | 0.4843 | 0.1024 | 0.2861 | 5.5345 | [76.04556633170597, 61.69371447400939, 49.49361223273979, 43.50113197496338] | 0.0982 |
| 0.4333 | 3.0 | 23466 | 0.4073 | 19.0 | 0.4980 | 0.1017 | 0.2920 | 5.8855 | [77.05727215080417, 62.5240589596784, 50.651199136696, 44.790044963147636] | 0.1024 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
