mt5-base_EN_spider_no_decode_old_env_128
This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge2 Precision: 0.0178
- Rouge2 Recall: 0.0067
- Rouge2 Fmeasure: 0.009
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: 18
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 539 | nan | 0.0178 | 0.0067 | 0.009 |
| 0.0 | 2.0 | 1078 | nan | 0.0178 | 0.0067 | 0.009 |
| 0.0 | 3.0 | 1617 | nan | 0.0178 | 0.0067 | 0.009 |
| 0.0 | 4.0 | 2156 | nan | 0.0178 | 0.0067 | 0.009 |
| 0.0 | 5.0 | 2695 | nan | 0.0178 | 0.0067 | 0.009 |
| 0.0 | 6.0 | 3234 | nan | 0.0178 | 0.0067 | 0.009 |
| 0.0 | 7.0 | 3773 | nan | 0.0178 | 0.0067 | 0.009 |
| 0.0 | 8.0 | 4312 | nan | 0.0178 | 0.0067 | 0.009 |
| 0.0 | 9.0 | 4851 | nan | 0.0178 | 0.0067 | 0.009 |
| 0.0 | 10.0 | 5390 | nan | 0.0178 | 0.0067 | 0.009 |
| 0.0 | 11.0 | 5929 | nan | 0.0178 | 0.0067 | 0.009 |
| 0.0 | 12.0 | 6468 | nan | 0.0178 | 0.0067 | 0.009 |
| 0.0 | 13.0 | 7007 | nan | 0.0178 | 0.0067 | 0.009 |
| 0.0 | 14.0 | 7546 | nan | 0.0178 | 0.0067 | 0.009 |
| 0.0 | 15.0 | 8085 | nan | 0.0178 | 0.0067 | 0.009 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.1