rakeshkiriyath
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Created README.md
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README.md
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---
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language:
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- en
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tags:
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- text-to-sql
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- gpt2
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- gpt2-medium
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- nlp-to-sql
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- text2sql
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- sql
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---
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# Model Card for Model ID
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<!-- The base model used for training is gpt2-medium. We finetuned it on the following dataset: b-mc2/sql-create-context -->
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This is my first fine tuned LLM project.
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## Prompt
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query = List the creation year, name and budget of each department
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f"Translate the following English question to SQL: {query}
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## Output
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SELECT zip_code FROM Visibility WHERE AVG(visibility) < 10
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[More Information Needed]
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#### Training Hyperparameters
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num_train_epochs=1
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per_device_train_batch_size=3
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gradient_accumulation_steps=9
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learning_rate=5e-5
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weight_decay=0.01
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## Evaluation
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Step Training Loss
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500 0.337800
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1000 0.262900
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1500 0.253200
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2000 0.246400
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{'eval_loss': 0.23689331114292145, 'eval_runtime': 104.4102, 'eval_samples_per_second': 67.043, 'eval_steps_per_second': 8.38, 'epoch': 1.0}
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