metadata
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_10_spider_15_wikiSQL
results: []
ALL_mt5-base_10_spider_15_wikiSQL
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0233
- Rouge2 Precision: 0.8562
- Rouge2 Recall: 0.5679
- Rouge2 Fmeasure: 0.6471
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 0.4206 | 1.0 | 875 | 0.1165 | 0.6166 | 0.4044 | 0.4599 |
| 0.1438 | 2.0 | 1750 | 0.0773 | 0.7093 | 0.479 | 0.5408 |
| 0.104 | 3.0 | 2625 | 0.0562 | 0.7512 | 0.5048 | 0.5713 |
| 0.0839 | 4.0 | 3500 | 0.0442 | 0.7839 | 0.527 | 0.5967 |
| 0.0746 | 5.0 | 4375 | 0.0367 | 0.8114 | 0.5424 | 0.616 |
| 0.0641 | 6.0 | 5250 | 0.0313 | 0.8265 | 0.5497 | 0.6255 |
| 0.056 | 7.0 | 6125 | 0.0277 | 0.8402 | 0.5583 | 0.6354 |
| 0.0514 | 8.0 | 7000 | 0.0252 | 0.8509 | 0.5638 | 0.6425 |
| 0.0484 | 9.0 | 7875 | 0.0237 | 0.8544 | 0.567 | 0.6459 |
| 0.0475 | 10.0 | 8750 | 0.0233 | 0.8562 | 0.5679 | 0.6471 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3