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Trained QLora Adapter with 260 data (5 epoch), R:32, Alpha:64, Dropout:0.1, added [PAD] token
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metadata
base_model: defog/sqlcoder-7b-2
library_name: peft
license: cc-by-sa-4.0
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: sqlcoder-7b-2_FineTuned_PEFT_QLORA_adapter_alpha_r_32_alpha_64
    results: []

sqlcoder-7b-2_FineTuned_PEFT_QLORA_adapter_alpha_r_32_alpha_64

This model is a fine-tuned version of defog/sqlcoder-7b-2 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: 2
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.13.1
  • Transformers 4.44.2
  • Pytorch 2.3.1+cu121
  • Datasets 3.0.2
  • Tokenizers 0.19.1