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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: EN_mt5-base_15_spider
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_15_spider
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: 0.3557
- Rouge2 Precision: 0.6104
- Rouge2 Recall: 0.4164
- Rouge2 Fmeasure: 0.4669
## 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: 12
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 9.1945 | 1.0 | 722 | 1.9988 | 0.2524 | 0.1722 | 0.1809 |
| 2.7281 | 2.0 | 1444 | 0.3721 | 0.4727 | 0.3003 | 0.3376 |
| 0.2067 | 3.0 | 2166 | 0.3160 | 0.5435 | 0.3541 | 0.4033 |
| 0.1692 | 4.0 | 2888 | 0.3153 | 0.5628 | 0.3863 | 0.4314 |
| 0.1252 | 5.0 | 3610 | 0.3225 | 0.5764 | 0.3907 | 0.4381 |
| 0.1117 | 6.0 | 4332 | 0.3165 | 0.5707 | 0.3891 | 0.435 |
| 0.0973 | 7.0 | 5054 | 0.3269 | 0.5693 | 0.3868 | 0.4335 |
| 0.0897 | 8.0 | 5776 | 0.3365 | 0.585 | 0.4009 | 0.4478 |
| 0.082 | 9.0 | 6498 | 0.3407 | 0.6035 | 0.4129 | 0.4619 |
| 0.0721 | 10.0 | 7220 | 0.3453 | 0.5963 | 0.4089 | 0.4568 |
| 0.0703 | 11.0 | 7942 | 0.3434 | 0.6032 | 0.4137 | 0.4629 |
| 0.0638 | 12.0 | 8664 | 0.3505 | 0.6077 | 0.4178 | 0.4667 |
| 0.0615 | 13.0 | 9386 | 0.3509 | 0.611 | 0.4169 | 0.467 |
| 0.0599 | 14.0 | 10108 | 0.3554 | 0.608 | 0.4153 | 0.4651 |
| 0.058 | 15.0 | 10830 | 0.3557 | 0.6104 | 0.4164 | 0.4669 |
### Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3
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