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--- |
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license: mit |
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library_name: "trl" |
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tags: |
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- DPO |
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- WeniGPT |
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base_model: Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT |
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model-index: |
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- name: Weni/WeniGPT-2.10.1-Zephyr-7B-DPO-prompt-binarized-GPTQ |
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results: [] |
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language: ['en'] |
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--- |
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# Weni/WeniGPT-2.10.1-Zephyr-7B-DPO-prompt-binarized-GPTQ |
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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](https://weni.ai/). |
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It achieves the following results on the evaluation set: |
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{'eval_loss': 1.9277071952819824, 'eval_runtime': 94.1066, 'eval_samples_per_second': 2.125, 'eval_steps_per_second': 0.531, 'eval_rewards/chosen': 18.78862190246582, 'eval_rewards/rejected': 13.151841163635254, 'eval_rewards/accuracies': 0.5350000262260437, 'eval_rewards/margins': 5.63677978515625, 'eval_logps/rejected': -329.4024658203125, 'eval_logps/chosen': -334.51287841796875, 'eval_logits/rejected': -2.746166467666626, 'eval_logits/chosen': -2.7368459701538086, 'epoch': 7.96} |
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## Intended uses & limitations |
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This model has not been trained to avoid specific intructions. |
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## Training procedure |
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Finetuning was done on the model Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT with the following prompt: |
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``` |
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Prompt: |
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<|user|>{prompt}</s> |
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Chosen: |
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<|assistant|>{chosen}</s> |
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Rejected: |
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<|assistant|>{rejected}</s> |
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``` |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- per_device_train_batch_size: 4 |
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- per_device_eval_batch_size: 4 |
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- gradient_accumulation_steps: 4 |
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- num_gpus: 1 |
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- total_train_batch_size: 16 |
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- optimizer: AdamW |
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- lr_scheduler_type: cosine |
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- num_steps: 896 |
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- quantization_type: gptq |
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- 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",) |
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### Training results |
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### Framework versions |
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- transformers==4.38.2 |
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- datasets==2.17.1 |
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- peft==0.8.2 |
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- safetensors==0.4.2 |
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- evaluate==0.4.1 |
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- bitsandbytes==0.42 |
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- huggingface_hub==0.20.3 |
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- seqeval==1.2.2 |
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- optimum==1.17.1 |
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- auto-gptq==0.7.0 |
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- gpustat==1.1.1 |
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- deepspeed==0.13.2 |
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- wandb==0.16.3 |
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- trl==0.7.11 |
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- accelerate==0.27.2 |
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- coloredlogs==15.0.1 |
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- traitlets==5.14.1 |
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- autoawq@https://github.com/casper-hansen/AutoAWQ/releases/download/v0.2.0/autoawq-0.2.0+cu118-cp310-cp310-linux_x86_64.whl |
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### Hardware |
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- Cloud provided: runpod.io |
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