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--- |
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library_name: transformers |
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base_model: google/gemma-2b |
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model-index: |
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- name: singhjagpreet/gemma-2b_text_to_sql |
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results: [] |
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inference: |
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parameters: |
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do_sample: false |
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max_length: 200 |
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widget: |
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- text: >- |
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Question: What is the average number of working horses of farms with greater |
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than 45 total number of horses? Context: CREATE TABLE farm (Working_Horses |
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INTEGER, Total_Horses INTEGER) |
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example_title: Average horses |
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- text: >- |
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Question:What are the names of the heads who are born outside the California |
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state? Context: CREATE TABLE head (name VARCHAR, born_state VARCHAR) |
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example_title: Name of Head |
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- text: >- |
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Question: List official names of cities in descending order of population. |
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Context: CREATE TABLE city (Official_Name VARCHAR, Population VARCHAR) |
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example_title: Name of Cities |
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pipeline_tag: text-generation |
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metrics: |
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- bleu |
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- rouge |
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datasets: |
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- b-mc2/sql-create-context |
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license: gemma |
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language: |
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- en |
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tags: |
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- code |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# gemma-2b_text_to_sql |
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on [b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context) dataset . |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 2 |
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- training_steps: 25 |
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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.38.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
