Visualize in Weights & Biases

orpo_run_yash_epochs_15_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
Downloads last month
0
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for sert121/orpo_run_yash_epochs_15_preference_data_v9_for_orpo

Adapter
(82)
this model