transformers pytorch tensorboard mt5 text2text-generation generated_from_trainer dataset:wikisql license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikisql
model-index:
- name: TH_mt5-base-finetuned-wikisql_ENTH
  results: []
---

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# TH_mt5-base-finetuned-wikisql_ENTH

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the wikisql dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0905
- Rouge2 Precision: 0.8555
- Rouge2 Recall: 0.7782
- Rouge2 Fmeasure: 0.8093

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.1548        | 1.0   | 4049  | 0.1137          | 0.8322           | 0.759         | 0.7877          |
| 0.1207        | 2.0   | 8098  | 0.1006          | 0.8457           | 0.7669        | 0.7985          |
| 0.1047        | 3.0   | 12147 | 0.0945          | 0.8516           | 0.7739        | 0.805           |
| 0.096         | 4.0   | 16196 | 0.0920          | 0.8543           | 0.7774        | 0.8083          |
| 0.0938        | 5.0   | 20245 | 0.0905          | 0.8555           | 0.7782        | 0.8093          |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3
