Weni/WeniGPT-2.9.1-Zephyr-7B-zephyr-prompt-binarized-GPTQ
This model is a fine-tuned version of [Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT] on the dataset HuggingFaceH4/ultrafeedback_binarized with the DPO trainer. It is part of the WeniGPT project for Weni.
It achieves the following results on the evaluation set: {'eval_loss': 1.4246530532836914, 'eval_runtime': 87.1748, 'eval_samples_per_second': 2.294, 'eval_steps_per_second': 0.574, 'eval_rewards/chosen': 7.902245998382568, 'eval_rewards/rejected': -1.2779319286346436, 'eval_rewards/accuracies': 0.6299999952316284, 'eval_rewards/margins': 9.18017864227295, 'eval_logps/rejected': -333.343017578125, 'eval_logps/chosen': -329.1789855957031, 'eval_logits/rejected': -2.569888114929199, 'eval_logits/chosen': -2.604318141937256, 'epoch': 1.0}
Intended uses & limitations
This model has not been trained to avoid specific intructions.
Training procedure
Finetuning was done on the model Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT with the following prompt:
Prompt:
<|user|>{prompt}</s>
Chosen:
<|assistant|>{chosen}</s>
Rejected:
<|assistant|>{rejected}</s>
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- per_device_train_batch_size: 4
- per_device_eval_batch_size: 4
- gradient_accumulation_steps: 4
- num_gpus: 1
- total_train_batch_size: 16
- optimizer: AdamW
- lr_scheduler_type: cosine
- num_steps: 112
- quantization_type: qptq
- LoRA: ("\n - bits: 4\n - use_exllama: True\n - device_map: auto\n - use_cache: False\n - lora_r: 16\n - lora_alpha: 16\n - lora_dropout: 0.05\n - bias: none\n - target_modules: ['q_proj', 'k_proj', 'v_proj', 'o_proj']\n - task_type: CAUSAL_LM",)
Training results
Framework versions
- transformers==4.38.2
- datasets==2.17.1
- peft==0.8.2
- safetensors==0.4.2
- evaluate==0.4.1
- bitsandbytes==0.42
- huggingface_hub==0.20.3
- seqeval==1.2.2
- optimum==1.17.1
- auto-gptq==0.7.0
- gpustat==1.1.1
- deepspeed==0.13.2
- wandb==0.16.3
- trl==0.7.11
- accelerate==0.27.2
- coloredlogs==15.0.1
- traitlets==5.14.1
- autoawq@https://github.com/casper-hansen/AutoAWQ/releases/download/v0.2.0/autoawq-0.2.0+cu118-cp310-cp310-linux_x86_64.whl
Hardware
- Cloud provided: runpod.io