Gemma 2B Translation V0.103 by lemon-mint

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  Autotrain compatible   Base model:beomi/gemma-ko-2b Base model:finetune:beomi/gemm...   Conversational Dataset:traintogpb/aihub-flore...   Endpoints compatible   Finetuned   Gemma   Instruct   Ko   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Translation

Gemma 2B Translation V0.103 Benchmarks

Gemma 2B Translation V0.103 (lemon-mint/gemma-2b-translation-v0.103)
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Gemma 2B Translation V0.103 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Evaluation and training losses provided. Model was optimized using adamw with a cosine learning rate scheduler.
Supported Languages 
Korean (>= AI translation level proficiency)
Training Details 
Data Sources:
traintogpb/aihub-flores-koen-integrated-sparta-30k
LLM NameGemma 2B Translation V0.103
Repository ๐Ÿค—https://huggingface.co/lemon-mint/gemma-2b-translation-v0.103 
Base Model(s)  Gemma Ko 2B   beomi/gemma-ko-2b
Model Size2b
Required VRAM5 GB
Updated2025-09-28
Maintainerlemon-mint
Model Typegemma
Model Files  3.0 GB: 1-of-2   2.0 GB: 2-of-2
Supported Languagesko
Model ArchitectureGemmaForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lemon-mint/gemma-2b-translation-v0.103.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124