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---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_15_wikiSQL_no_sch
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_wikiSQL_no_sch
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1014
- Rouge2 Precision: 0.774
- Rouge2 Recall: 0.7029
- Rouge2 Fmeasure: 0.731
## 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: 15
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.1507 | 1.0 | 8637 | 0.1284 | 0.7172 | 0.6444 | 0.673 |
| 0.1214 | 2.0 | 17274 | 0.1125 | 0.7391 | 0.6666 | 0.6954 |
| 0.1049 | 3.0 | 25911 | 0.1070 | 0.7514 | 0.6775 | 0.7069 |
| 0.0951 | 4.0 | 34548 | 0.1035 | 0.7558 | 0.6832 | 0.712 |
| 0.0893 | 5.0 | 43185 | 0.1019 | 0.7627 | 0.6903 | 0.7189 |
| 0.0854 | 6.0 | 51822 | 0.1010 | 0.766 | 0.6933 | 0.7222 |
| 0.0794 | 7.0 | 60459 | 0.1001 | 0.7672 | 0.6951 | 0.7237 |
| 0.0719 | 8.0 | 69096 | 0.0999 | 0.7703 | 0.698 | 0.7267 |
| 0.0713 | 9.0 | 77733 | 0.1002 | 0.77 | 0.6983 | 0.7268 |
| 0.067 | 10.0 | 86370 | 0.1004 | 0.7726 | 0.7006 | 0.7291 |
| 0.0649 | 11.0 | 95007 | 0.1005 | 0.773 | 0.7017 | 0.7299 |
| 0.0636 | 12.0 | 103644 | 0.1009 | 0.7733 | 0.7018 | 0.7301 |
| 0.0614 | 13.0 | 112281 | 0.1009 | 0.7735 | 0.7021 | 0.7303 |
| 0.0608 | 14.0 | 120918 | 0.1012 | 0.7737 | 0.7028 | 0.7308 |
| 0.06 | 15.0 | 129555 | 0.1014 | 0.774 | 0.7029 | 0.731 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.1
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