README.md

metadata

base_model: MaziyarPanahi/Mistral-7B-Instruct-SQL-Mistral-7B-Instruct-v0.2-slerp
library_name: peft
license: apache-2.0
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: sqlcoder-Mistral_7b_FineTuned_PEFT_QLORA_adapter_r_32_alpha_64
    results: []

sqlcoder-Mistral_7b_FineTuned_PEFT_QLORA_adapter_r_32_alpha_64

This model is a fine-tuned version of MaziyarPanahi/Mistral-7B-Instruct-SQL-Mistral-7B-Instruct-v0.2-slerp 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: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• 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