README.md

metadata

license: llama3
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
datasets:
  - generator
model-index:
  - name: Meta-Llama-3-8B-text-to-sql-flash-attention-2
    results: []

Meta-Llama-3-8B-text-to-sql-flash-attention-2

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the generator dataset.

Model description

Innovative Adaptation of Meta-Llama-3–8B for Text-to-SQL: https://medium.com/@frankmorales_91352/innovative-adaptation-of-meta-llama-3-8b-for-text-to-sql-d53544725154

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0002
• train_batch_size: 3
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 6
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 3

Training results

Framework versions

• PEFT 0.11.1
• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1