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Gpt2 Large Lora Sft2 by Mikivis

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  Autotrain compatible   Endpoints compatible   Gpt2   Lora   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Mikivis/gpt2-large-lora-sft2 

Gpt2 Large Lora Sft2 Benchmarks

ARC: 26.62 vs 96.7 (so35)-72.5%
HellaSwag: 42.68 vs 95.3 (gpt4)-55.2%
MMLU: 24.72 vs 88.3 (so35)-72%
TruthfulQA: 40.31 vs 59 (gpt4)-31.7%
WinoGrande: 53.67 vs 87.5 (gpt4)-38.7%
LLME Score: 0.19177
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gpt2 Large Lora Sft2 (Mikivis/gpt2-large-lora-sft2)

Gpt2 Large Lora Sft2 Parameters and Internals

Additional Notes 
More information needed on model description, intended uses, limitations, training and evaluation data, and training results.
Training Details 
Hardware Used:
multi-GPU (6 devices)
LLM NameGpt2 Large Lora Sft2
Repository 🤗https://huggingface.co/Mikivis/gpt2-large-lora-sft2 
Model Size774m
Required VRAM1.6 GB
Updated2025-01-17
MaintainerMikivis
Model Typegpt2
Model Files  1.6 GB   1.6 GB
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Model Max Length1024
Transformers Version4.32.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
LoRA ModelYes
Torch Data Typefloat16
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than Mikivis/gpt2-large-lora-sft2.

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Release v20241227
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