Llama-3-8B-Instruct-MoE-2-spider-4

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Llama-3-8B-Instruct-MoE-2-spider-4

This model is a fine-tuned version of VictorDCh/Llama-3-8B-Instruct-MoE-2 on the generator dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

prompt format: """You are a helpful assistant who answers questions about database tables by responding with SQL queries. Users will provide you with a set of tables represented as CREATE TABLE statements followed by INSERT statements containing information about the data types contained in each of the tables. Then users will ask a question. Answer the user question by writing a SQL statement with the help of the provided SQL tables."""

user_message = """Here is the schema of the tables you will be working with:

{schema}

-- {question} SELECT"""

dataset: VictorDCh/spider-clean-text-to-sql-3

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0002
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 1

Training results

Framework versions

• PEFT 0.7.2.dev0
• Transformers 4.36.2
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.15.2