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gemma-1.1-2b-it_text_to_sql_format_chatML_V1 - GGUF
- Model creator: https://huggingface.co/NickyNicky/
- Original model: https://huggingface.co/NickyNicky/gemma-1.1-2b-it_text_to_sql_format_chatML_V1/
Original model description:
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: |
system
You are a helpful AI assistant.
you are a sql expert who responds in json format.
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);
model
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.
$ train
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