orpo_run_yash_beta_0.5_preference_data_v9_for_orpo

This model is a fine-tuned version of defog/llama-3-sqlcoder-8b 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: 8e-06
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 150
• training_steps: 1000

Training results

Framework versions

• PEFT 0.11.1
• Transformers 4.42.1
• Pytorch 2.3.1+cu118
• Datasets 2.20.0
• Tokenizers 0.19.1