ai2sql-falcon-7b / README.md
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metadata
base_model: ybelkada/falcon-7b-sharded-bf16
tags:
  - generated_from_trainer
  - falcon
model-index:
  - name: results
    results: []
datasets:
  - Clinton/Text-to-sql-v1

AI2sql

This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on an unknown dataset.

Model description

More information needed

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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • training_steps: 500
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0