---
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