metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-sql3
results: []
t5-small-finetuned-sql3
This model is a fine-tuned version of FYP19/t5-small-finetuned-wikisql on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4889
- Rouge2 Precision: 0.5185
- Rouge2 Recall: 0.3505
- Rouge2 Fmeasure: 0.3928
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 |
---|---|---|---|---|---|---|
1.088 | 1.0 | 896 | 0.6020 | 0.4475 | 0.3019 | 0.3347 |
0.5369 | 2.0 | 1792 | 0.5312 | 0.4829 | 0.3281 | 0.3649 |
0.4423 | 3.0 | 2688 | 0.5050 | 0.5072 | 0.3375 | 0.38 |
0.4012 | 4.0 | 3584 | 0.4917 | 0.5136 | 0.3453 | 0.3872 |
0.3938 | 5.0 | 4480 | 0.4889 | 0.5185 | 0.3505 | 0.3928 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2