EN_mt5-base_5_wikiSQL_sch
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0139
- Rouge2 Precision: 0.9436
- Rouge2 Recall: 0.8617
- Rouge2 Fmeasure: 0.8948
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 |
|---|---|---|---|---|---|---|
| 0.0348 | 1.0 | 4049 | 0.0205 | 0.9264 | 0.85 | 0.8798 |
| 0.0244 | 2.0 | 8098 | 0.0161 | 0.9377 | 0.8561 | 0.8891 |
| 0.0185 | 3.0 | 12147 | 0.0146 | 0.9406 | 0.859 | 0.8919 |
| 0.0167 | 4.0 | 16196 | 0.0143 | 0.9431 | 0.8613 | 0.8944 |
| 0.0156 | 5.0 | 20245 | 0.0139 | 0.9436 | 0.8617 | 0.8948 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3