EN_mt5-base_5_wikiSQL
This model is a fine-tuned version of google/mt5-base on the wikisql dataset. It achieves the following results on the evaluation set:
- Loss: 0.0907
- Rouge2 Precision: 0.8556
- Rouge2 Recall: 0.7785
- Rouge2 Fmeasure: 0.8095
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: 5e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 0.156 | 1.0 | 4049 | 0.1163 | 0.8282 | 0.7534 | 0.7831 |
| 0.1218 | 2.0 | 8098 | 0.1007 | 0.8452 | 0.7679 | 0.7989 |
| 0.1056 | 3.0 | 12147 | 0.0944 | 0.8521 | 0.7749 | 0.8058 |
| 0.0967 | 4.0 | 16196 | 0.0921 | 0.8552 | 0.7784 | 0.8092 |
| 0.0935 | 5.0 | 20245 | 0.0907 | 0.8556 | 0.7785 | 0.8095 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3