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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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- KTO |
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- WeniGPT |
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base_model: mistralai/Mixtral-8x7B-Instruct-v0.1 |
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model-index: |
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- name: Weni/WeniGPT-QA-Zephyr-7B-5.0.1-KTO |
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results: [] |
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language: ['pt'] |
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--- |
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# Weni/WeniGPT-QA-Zephyr-7B-5.0.1-KTO |
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This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1] on the dataset Weni/WeniGPT-QA-Binarized-1.2.0 with the KTO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/). |
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Description: WeniGPT Experiment using KTO trainer with no collator, Mixstral model and no system prompt. |
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It achieves the following results on the evaluation set: |
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{'eval_loss': 0.014605735428631306, 'eval_runtime': 1025.937, 'eval_samples_per_second': 0.476, 'eval_steps_per_second': 0.119, 'eval/rewards/chosen': 6.546164512634277, 'eval/rewards/rejected': -30.777591705322266, 'eval/kl': 0.25049710273742676, 'eval/logps/chosen': -129.4441375732422, 'eval/logps/rejected': -508.0271301269531, 'eval/rewards/margins': 37.32375621795654, 'epoch': 1.99} |
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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 mistralai/Mixtral-8x7B-Instruct-v0.1 with the following prompt: |
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``` |
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--------------------- |
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Question: |
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<|user|> |
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Contexto: {context} |
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Questão: {question}</s> |
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--------------------- |
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Response: |
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<|assistant|> |
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{response}</s> |
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--------------------- |
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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: 8 |
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- num_gpus: 1 |
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- total_train_batch_size: 32 |
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- optimizer: AdamW |
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- lr_scheduler_type: cosine |
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- num_steps: 262 |
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- quantization_type: bitsandbytes |
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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: 32\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==4.39.1 |
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- datasets==2.18.0 |
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- peft==0.10.0 |
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- safetensors==0.4.2 |
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- evaluate==0.4.1 |
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- bitsandbytes==0.43 |
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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==0.7.1 |
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- gpustat==1.1.1 |
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- deepspeed==0.14.0 |
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- wandb==0.16.3 |
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- # trl==0.8.1 |
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- git+https://github.com/claralp/trl.git@fix_nans#egg=trl |
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- accelerate==0.28.0 |
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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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