RichardErkhov/

NickyNicky_-_gemma-1.1-2b-it_text_to_sql_format_chatML_V1-4bits

• 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:

• gretelai/synthetic_text_to_sql
• NickyNicky/synthetic_text_to_sql_format_chatML_gemma language:
• en

• text: | <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

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.

Dataset format gemma fine tune.

colab examples and Gradio.

gradio colab.

$ train