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# nsql-350M-finetuned

This model is a fine-tuned version of [NumbersStation/nsql-350M](https://huggingface.co/NumbersStation/nsql-350M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0114

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1122        | 1.0   | 22   | 0.0555          |
| 0.0564        | 2.0   | 44   | 0.0263          |
| 0.0368        | 3.0   | 66   | 0.0222          |
| 0.0266        | 4.0   | 88   | 0.0161          |
| 0.0267        | 5.0   | 110  | 0.0175          |
| 0.0195        | 6.0   | 132  | 0.0153          |
| 0.0165        | 7.0   | 154  | 0.0119          |
| 0.0145        | 8.0   | 176  | 0.0116          |
| 0.0127        | 9.0   | 198  | 0.0123          |
| 0.0131        | 10.0  | 220  | 0.0127          |
| 0.0122        | 11.0  | 242  | 0.0108          |
| 0.0114        | 12.0  | 264  | 0.0112          |
| 0.0103        | 13.0  | 286  | 0.0113          |
| 0.0099        | 14.0  | 308  | 0.0114          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
{"license": "bsd-3-clause", "tags": ["generated_from_trainer"], "base_model": "NumbersStation/nsql-350M", "pipeline_tag": "text2text-generation", "model-index": [{"name": "nsql-350M-finetuned", "results": []}]}
transformers pytorch codegen text-generation generated_from_trainer text2text-generation base_model:NumbersStation/nsql-350M license:bsd-3-clause autotrain_compatible endpoints_compatible region:us