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0.0 Withdpo 4iters Bs256 5551lr Iter 4 by ShenaoZ

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  Alignment-handbook   Autotrain compatible   Conversational Dataset:huggingfaceh4/ultrafee...   Dpo   Endpoints compatible   Generated from trainer   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/ShenaoZ/0.0_withdpo_4iters_bs256_5551lr_iter_4 

0.0 Withdpo 4iters Bs256 5551lr Iter 4 Benchmarks

ARC: 60.84 vs 96.7 (so35)-37.1%
HellaSwag: 85.22 vs 95.3 (gpt4)-10.6%
MMLU: 60.4 vs 88.3 (so35)-31.6%
TruthfulQA: 53.88 vs 59 (gpt4)-8.7%
WinoGrande: 77.43 vs 87.5 (gpt4)-11.5%
GSM8K: 14.4 vs 96.4 (so35)-85.1%
LLME Score: 0.20507
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
0.0 Withdpo 4iters Bs256 5551lr Iter 4 (ShenaoZ/0.0_withdpo_4iters_bs256_5551lr_iter_4)

0.0 Withdpo 4iters Bs256 5551lr Iter 4 Parameters and Internals

Training Details 
Data Sources:
HuggingFaceH4/ultrafeedback_binarized
LLM Name0.0 Withdpo 4iters Bs256 5551lr Iter 4
Repository 🤗https://huggingface.co/ShenaoZ/0.0_withdpo_4iters_bs256_5551lr_iter_4 
Base Model(s)  ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_3   ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_3
Model Size7.2b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerShenaoZ
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 ShenaoZ/0.0_withdpo_4iters_bs256_5551lr_iter_4.

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