| | --- |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: ALL_mt5-base_5_spider_15_wikiSQL |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # ALL_mt5-base_5_spider_15_wikiSQL |
| | |
| | This model was trained from scratch on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0535 |
| | - Rouge2 Precision: 0.7644 |
| | - Rouge2 Recall: 0.5113 |
| | - Rouge2 Fmeasure: 0.5798 |
| | |
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:| |
| | | 0.4225 | 1.0 | 875 | 0.1196 | 0.6114 | 0.3983 | 0.4541 | |
| | | 0.1491 | 2.0 | 1750 | 0.0822 | 0.6989 | 0.4688 | 0.5304 | |
| | | 0.1128 | 3.0 | 2625 | 0.0640 | 0.7302 | 0.4905 | 0.5547 | |
| | | 0.0972 | 4.0 | 3500 | 0.0560 | 0.7542 | 0.5066 | 0.5733 | |
| | | 0.0914 | 5.0 | 4375 | 0.0535 | 0.7644 | 0.5113 | 0.5798 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.26.1 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.14.7.dev0 |
| | - Tokenizers 0.13.3 |
| | |
