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id-to-word-text-to-sparql-combined-dataset-t5-base-2023-06-05_10-17
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0967
- Gen Len: 19.0
- Bertscorer-p: 0.5394
- Bertscorer-r: 0.0838
- Bertscorer-f1: 0.3018
- Sacrebleu-score: 6.1241
- Sacrebleu-precisions: [85.81458995625881, 77.51652857152274, 70.6216101009804, 65.87751712684243]
- Bleu-bp: 0.0821
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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.1551 | 1.0 | 7822 | 0.1181 | 19.0 | 0.5184 | 0.0626 | 0.2806 | 5.3591 | [84.89762821812285, 75.22766194579607, 67.4283498216825, 62.37205047209708] | 0.0744 |
| 0.1049 | 2.0 | 15644 | 0.0967 | 19.0 | 0.5394 | 0.0838 | 0.3018 | 6.1241 | [85.81458995625881, 77.51652857152274, 70.6216101009804, 65.87751712684243] | 0.0821 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
