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---
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch_128
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_15_spider_no_sch_15_wikiSQL_no_sch_128
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0225
- Rouge2 Precision: 0.8419
- Rouge2 Recall: 0.5664
- Rouge2 Fmeasure: 0.6439
## 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: 15
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.2971 | 1.0 | 1293 | 0.1770 | 0.5043 | 0.3352 | 0.3788 |
| 0.1766 | 2.0 | 2586 | 0.1177 | 0.5844 | 0.3896 | 0.4412 |
| 0.1416 | 3.0 | 3879 | 0.0899 | 0.6329 | 0.4197 | 0.4773 |
| 0.1108 | 4.0 | 5172 | 0.0700 | 0.6794 | 0.4555 | 0.5171 |
| 0.0962 | 5.0 | 6465 | 0.0562 | 0.7204 | 0.4823 | 0.5478 |
| 0.0814 | 6.0 | 7758 | 0.0473 | 0.7503 | 0.5072 | 0.5746 |
| 0.0709 | 7.0 | 9051 | 0.0405 | 0.7655 | 0.5153 | 0.5845 |
| 0.0651 | 8.0 | 10344 | 0.0358 | 0.7863 | 0.5298 | 0.601 |
| 0.0589 | 9.0 | 11637 | 0.0312 | 0.7996 | 0.538 | 0.6108 |
| 0.0553 | 10.0 | 12930 | 0.0288 | 0.8123 | 0.5482 | 0.6218 |
| 0.0515 | 11.0 | 14223 | 0.0262 | 0.8229 | 0.553 | 0.6283 |
| 0.0487 | 12.0 | 15516 | 0.0246 | 0.8247 | 0.555 | 0.6304 |
| 0.0466 | 13.0 | 16809 | 0.0236 | 0.835 | 0.5611 | 0.6377 |
| 0.0445 | 14.0 | 18102 | 0.0227 | 0.8414 | 0.5662 | 0.6435 |
| 0.044 | 15.0 | 19395 | 0.0225 | 0.8419 | 0.5664 | 0.6439 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.1
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