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---
library_name: transformers
license: apache-2.0
datasets:
- gretelai/synthetic_text_to_sql
- NickyNicky/synthetic_text_to_sql_format_chatML_gemma
language:
- en
widget:
- text: |
<bos><start_of_turn>system
You are a helpful AI assistant.
you are a sql expert who responds in json format.<end_of_turn>
<start_of_turn>user
## prompt:
What is the total gold production by 'Site B' in the 'production' table?
## sql context:
CREATE TABLE production (id INT, site VARCHAR(50), year INT, gold_production INT, silver_production INT);<end_of_turn>
<start_of_turn>model
---
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/641b435ba5f876fe30c5ae0a/Fy2GvAheKCnd3Jj3TbrPG.png" alt="" style="width: 95%; max-height: 750px;">
</p>
## Metrics.
```
TrainOutput(global_step=2509,
training_loss=0.2509715025906736,
metrics={'train_runtime': 22783.0743,
'train_samples_per_second': 8.81,
'train_steps_per_second': 0.11,
'total_flos': 1.820581902144553e+18,
'train_loss': 0.2509715025906736,
'epoch': 2.01
}
)
```
## Take dataset.
```
gretelai/synthetic_text_to_sql
```
## Dataset format gemma fine tune.
```
NickyNicky/synthetic_text_to_sql_format_chatML_gemma
```
## colab examples and Gradio.
```
https://colab.research.google.com/drive/1-0PsRAqTum2UuvsXb9JtXxLISIUWd8zv?usp=sharing
```
## gradio colab.
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/641b435ba5f876fe30c5ae0a/X2rf3Z7jJ2WUI7LANw4IH.png" alt="" style="width: 95%; max-height: 750px;">
</p>
## $ train
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/641b435ba5f876fe30c5ae0a/tLhUyV2uW44-Cf0vwXFbd.png" alt="" style="width: 95%; max-height: 750px;">
</p> |