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Model Card for decruz07/kellemar-DPO-Orca-Distilled-7B

This model was created using mlabonne/Marcoro14-7B-slerp as the base, and finetuned with argilla/distilabel-intel-orca-dpo-pairs

Model Details

Finetuned with these specific parameters: Steps: 200 Learning Rate: 5e5 Beta: 0.1

Model Description

  • Developed by: @decruz
  • Funded by [optional]: my full-time job
  • Finetuned from model [optional]: mlabonne/Marcoro14-7B-slerp


Top 5 in OpenLLM Benchmarks as of 2024/01/17


Model Average ARC HellaSwag MMLU TruthfulQA Winogrande GSM8K
kellemar-DPO-Orca-Distilled-7B-SLERP 73.71 70.48 87.56 65.33 64.97 81.93 72.02


Model AGIEval GPT4All TruthfulQA Bigbench Average
kellemar-DPO-Orca-Distilled-7B-SLERP 45.27 76.42 65.48 47.21 58.6
Marcoro14-7B-slerp 44.66 76.24 64.15 45.64 57.67
kellemar-DPO-Orca-Distilled-7B 43.61 73.14 55.73 42.28 53.69
kellemar-Orca-DPO-7B 43.35 73.43 54.02 42.24 53.26
OpenHermes-2.5-Mistral-7B 43.07 73.12 53.04 40.96 52.38


You can use this for basic inference. You could probably finetune with this if you want to.

How to Get Started with the Model

You can create a space out of this, or use basic python code to call the model directly and make inferences to it.

[More Information Needed]

Training Details

The following was used: `training_args = TrainingArguments( per_device_train_batch_size=4, gradient_accumulation_steps=4, gradient_checkpointing=True, learning_rate=5e-5, lr_scheduler_type="cosine", max_steps=200, save_strategy="no", logging_steps=1, output_dir=new_model, optim="paged_adamw_32bit", warmup_steps=100, bf16=True, report_to="wandb", )

Create DPO trainer

dpo_trainer = DPOTrainer( model, ref_model, args=training_args, train_dataset=dataset, tokenizer=tokenizer, peft_config=peft_config, beta=0.1, max_prompt_length=1024, max_length=1536, )`

Training Data

This was trained with https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs

Training Procedure

Trained with Labonne's Google Colab Notebook on Finetuning Mistral 7B with DPO.

Model Card Authors [optional]


Model Card Contact

@decruz on X/Twitter

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Model size
7.24B params
Tensor type

Finetuned from

Dataset used to train decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP

Space using decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP 1