metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-wikisql-v2
results: []
t5-small-finetuned-wikisql-v2
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1246
- Rouge2 Precision: 0.8183
- Rouge2 Recall: 0.7261
- Rouge2 Fmeasure: 0.7624
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 |
|---|---|---|---|---|---|---|
| 0.1953 | 1.0 | 4049 | 0.1574 | 0.7938 | 0.7035 | 0.739 |
| 0.1644 | 2.0 | 8098 | 0.1375 | 0.8083 | 0.7167 | 0.7527 |
| 0.1517 | 3.0 | 12147 | 0.1296 | 0.8141 | 0.7222 | 0.7584 |
| 0.146 | 4.0 | 16196 | 0.1256 | 0.817 | 0.7254 | 0.7614 |
| 0.1413 | 5.0 | 20245 | 0.1246 | 0.8183 | 0.7261 | 0.7624 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1