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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: EN_mt5-base_5_wikiSQL_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. -->
# EN_mt5-base_5_wikiSQL_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: 0.0139
- Rouge2 Precision: 0.9436
- Rouge2 Recall: 0.8617
- Rouge2 Fmeasure: 0.8948
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.0348 | 1.0 | 4049 | 0.0205 | 0.9264 | 0.85 | 0.8798 |
| 0.0244 | 2.0 | 8098 | 0.0161 | 0.9377 | 0.8561 | 0.8891 |
| 0.0185 | 3.0 | 12147 | 0.0146 | 0.9406 | 0.859 | 0.8919 |
| 0.0167 | 4.0 | 16196 | 0.0143 | 0.9431 | 0.8613 | 0.8944 |
| 0.0156 | 5.0 | 20245 | 0.0139 | 0.9436 | 0.8617 | 0.8948 |
### Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3
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