| | --- |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: ALL_mt5-base_5_spider_15_wikiSQL_new |
| | 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_new |
| |
|
| | This model was trained from scratch on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2299 |
| | - Rouge2 Precision: 0.5924 |
| | - Rouge2 Recall: 0.4008 |
| | - Rouge2 Fmeasure: 0.4493 |
| |
|
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:| |
| | | 0.2318 | 1.0 | 1212 | 0.2258 | 0.5422 | 0.3546 | 0.4016 | |
| | | 0.1515 | 2.0 | 2424 | 0.2190 | 0.5676 | 0.3783 | 0.4251 | |
| | | 0.1112 | 3.0 | 3636 | 0.2262 | 0.578 | 0.389 | 0.4362 | |
| | | 0.0951 | 4.0 | 4848 | 0.2304 | 0.5869 | 0.3947 | 0.4431 | |
| | | 0.088 | 5.0 | 6060 | 0.2299 | 0.5924 | 0.4008 | 0.4493 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.26.1 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.14.7.dev0 |
| | - Tokenizers 0.13.3 |
| |
|
