t5-small-finetuned-spider
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1414
- Rouge2 Precision: 0.4906
- Rouge2 Recall: 0.3055
- Rouge2 Fmeasure: 0.3476
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 | 0.1933 | 0.4146 | 0.2595 | 0.285 |
| 0.512 | 2.0 | 876 | 0.1572 | 0.4555 | 0.2825 | 0.318 |
| 0.1734 | 3.0 | 1314 | 0.1468 | 0.484 | 0.2988 | 0.3399 |
| 0.1451 | 4.0 | 1752 | 0.1433 | 0.4758 | 0.2995 | 0.3378 |
| 0.1321 | 5.0 | 2190 | 0.1414 | 0.4906 | 0.3055 | 0.3476 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2