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# TH_mt5-base-finetuned-wikisql

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: 0.3517
- Rouge2 Precision: 0.6349
- Rouge2 Recall: 0.5656
- Rouge2 Fmeasure: 0.5929

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.4981        | 1.0   | 4049  | 0.4153          | 0.5813           | 0.5159        | 0.5409          |
| 0.4242        | 2.0   | 8098  | 0.3777          | 0.6117           | 0.543         | 0.5695          |
| 0.384         | 3.0   | 12147 | 0.3599          | 0.6264           | 0.5573        | 0.5844          |
| 0.3651        | 4.0   | 16196 | 0.3537          | 0.6343           | 0.5639        | 0.5917          |
| 0.3557        | 5.0   | 20245 | 0.3517          | 0.6349           | 0.5656        | 0.5929          |


### Framework versions

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

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