EN_t5-base_15_spider
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2692
- Rouge2 Precision: 0.6128
- Rouge2 Recall: 0.3948
- Rouge2 Fmeasure: 0.4517
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: 30
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 234 | 0.2675 | 0.4828 | 0.3113 | 0.3529 |
| No log | 2.0 | 468 | 0.2426 | 0.5265 | 0.3444 | 0.3904 |
| 0.4735 | 3.0 | 702 | 0.2384 | 0.5486 | 0.3481 | 0.3988 |
| 0.4735 | 4.0 | 936 | 0.2388 | 0.5846 | 0.3787 | 0.4324 |
| 0.1397 | 5.0 | 1170 | 0.2407 | 0.5789 | 0.3672 | 0.4212 |
| 0.1397 | 6.0 | 1404 | 0.2429 | 0.5976 | 0.3835 | 0.4391 |
| 0.1028 | 7.0 | 1638 | 0.2489 | 0.587 | 0.3779 | 0.4317 |
| 0.1028 | 8.0 | 1872 | 0.2534 | 0.602 | 0.3897 | 0.4448 |
| 0.0837 | 9.0 | 2106 | 0.2576 | 0.5971 | 0.3838 | 0.4394 |
| 0.0837 | 10.0 | 2340 | 0.2555 | 0.6024 | 0.3848 | 0.4412 |
| 0.0712 | 11.0 | 2574 | 0.2638 | 0.6106 | 0.3894 | 0.4469 |
| 0.0712 | 12.0 | 2808 | 0.2680 | 0.6061 | 0.3874 | 0.4444 |
| 0.0649 | 13.0 | 3042 | 0.2667 | 0.6114 | 0.3924 | 0.4498 |
| 0.0649 | 14.0 | 3276 | 0.2683 | 0.6117 | 0.3934 | 0.4504 |
| 0.0614 | 15.0 | 3510 | 0.2692 | 0.6128 | 0.3948 | 0.4517 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3