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t5-small-finetuned-spider-wo_db
This model is a fine-tuned version of t5-small on the spider dataset. It achieves the following results on the evaluation set:
- Loss: 0.7198
- Rouge2 Precision: 0.418
- Rouge2 Recall: 0.2665
- Rouge2 Fmeasure: 0.3074
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 |
|---|---|---|---|---|---|---|
| No log | 1.0 | 438 | 0.8903 | 0.3327 | 0.2179 | 0.2435 |
| 1.5339 | 2.0 | 876 | 0.7760 | 0.3853 | 0.2499 | 0.2831 |
| 0.825 | 3.0 | 1314 | 0.7418 | 0.403 | 0.2594 | 0.2963 |
| 0.7137 | 4.0 | 1752 | 0.7250 | 0.4092 | 0.2612 | 0.3011 |
| 0.6653 | 5.0 | 2190 | 0.7198 | 0.418 | 0.2665 | 0.3074 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
