<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
model_pre_tuning
This model is a fine-tuned version of juierror/flan-t5-text2sql-with-schema-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.5662
- Rouge2 Precision: 0.1667
- Rouge2 Recall: 0.0625
- Rouge2 Fmeasure: 0.0909
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 1 | 8.0427 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 2 | 6.8858 | 0.0 | 0.0 | 0.0 |
| No log | 3.0 | 3 | 6.1174 | 0.1667 | 0.0625 | 0.0909 |
| No log | 4.0 | 4 | 5.6207 | 0.1667 | 0.0625 | 0.0909 |
| No log | 5.0 | 5 | 5.2732 | 0.1667 | 0.0625 | 0.0909 |
| No log | 6.0 | 6 | 5.0166 | 0.1667 | 0.0625 | 0.0909 |
| No log | 7.0 | 7 | 4.8271 | 0.1667 | 0.0625 | 0.0909 |
| No log | 8.0 | 8 | 4.6933 | 0.1667 | 0.0625 | 0.0909 |
| No log | 9.0 | 9 | 4.6080 | 0.1667 | 0.0625 | 0.0909 |
| No log | 10.0 | 10 | 4.5662 | 0.1667 | 0.0625 | 0.0909 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.12.1
