Biomistral 7B Wo Kqa Golden Iter DPO Step3 by Minbyul

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  Alignment-handbook   Autotrain compatible Base model:finetune:minbyul/bi... Base model:minbyul/biomistral-...   Conversational Dataset:huggingfaceh4/ultrafee...   Dpo   Endpoints compatible   Generated from trainer   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Trl

Biomistral 7B Wo Kqa Golden Iter DPO Step3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Biomistral 7B Wo Kqa Golden Iter DPO Step3 (Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step3)

Biomistral 7B Wo Kqa Golden Iter DPO Step3 Parameters and Internals

Additional Notes 
Training hyperparameters used during fine-tuning: - learning_rate: 1e-07 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - gradient_accumulation_steps: 2 - total_train_batch_size: 64 - total_eval_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 1
Training Details 
Data Sources:
HuggingFaceH4/ultrafeedback_binarized
Methodology:
fine-tuning
Hardware Used:
multi-GPU, 4 devices
LLM NameBiomistral 7B Wo Kqa Golden Iter DPO Step3
Repository ๐Ÿค—https://huggingface.co/Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step3 
Base Model(s)  ...B Wo Kqa Golden Iter DPO Step2   Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step2
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerMinbyul
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step3.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227