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my-final-v1-text-to-sparql-combined-dataset-t5-base-2023-05-09_09-13
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3456
- Gen Len: 19.0
- Bertscorer-p: 0.5013
- Bertscorer-r: 0.1137
- Bertscorer-f1: 0.3000
- Sacrebleu-score: 6.1003
- Sacrebleu-precisions: [77.97754754552538, 64.74142628270293, 53.3199157675034, 47.63691495511611]
- Bleu-bp: 0.1019
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions | Bleu-bp |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.4215 | 1.0 | 7822 | 0.3919 | 19.0 | 0.4997 | 0.1122 | 0.2984 | 5.8699 | [77.35323282257656, 63.16682990532158, 51.41608735111668, 45.63668646835748] | 0.1009 |
| 0.3639 | 2.0 | 15644 | 0.3456 | 19.0 | 0.5013 | 0.1137 | 0.3000 | 6.1003 | [77.97754754552538, 64.74142628270293, 53.3199157675034, 47.63691495511611] | 0.1019 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
