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SELM Zephyr 7B Iter 3 by ZhangShenao

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  Arxiv:2405.19332   Alignment-handbook   Autotrain compatible Base model:finetune:zhangshena... Base model:zhangshenao/selm-ze...   Conversational Dataset:huggingfaceh4/ultrafee...   Dpo   Endpoints compatible   Mistral   Region:us   Safetensors   Selm   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/ZhangShenao/SELM-Zephyr-7B-iter-3 

SELM Zephyr 7B Iter 3 Benchmarks

LLME Score: 0.18868
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SELM Zephyr 7B Iter 3 (ZhangShenao/SELM-Zephyr-7B-iter-3)

SELM Zephyr 7B Iter 3 Parameters and Internals

Model Type 
Self-Exploring Language Model
Additional Notes 
Training used hyperparameters: alpha: 0.001, beta: 0.01, train_batch_size: 8, seed: 42, distributed_type: multi-GPU, gradient_accumulation_steps: 4, total_train_batch_size: 256, optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08, num_epochs: 1.
Training Details 
Data Sources:
HuggingFaceH4/ultrafeedback_binarized
Methodology:
Fine-tuning with synthetic data
Hardware Used:
multi-GPU, num_devices: 8
LLM NameSELM Zephyr 7B Iter 3
Repository 🤗https://huggingface.co/ZhangShenao/SELM-Zephyr-7B-iter-3 
Base Model(s)  SELM Zephyr 7B Iter 2   ZhangShenao/SELM-Zephyr-7B-iter-2
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerZhangShenao
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
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.40.2
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 ZhangShenao/SELM-Zephyr-7B-iter-3.

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