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Results by Noodle-bg

 »  All LLMs  »  Noodle-bg  »  Results   URL Share it on

  6   
  Adapter Base model:adapter:openlm-rese... Base model:openlm-research/ope...   Finetuned   Generated from trainer   Lora   Peft   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/Noodle-bg/results 

Results Benchmarks

LLME Score: 0.1988
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Results (Noodle-bg/results)

Results Parameters and Internals

Additional Notes 
The model is a fine-tuned version of the base model open_llama_3b_v2. Training procedure specifics include using a learning rate of 5e-05 with the Adam optimizer, and a cosine learning rate scheduler. Batch sizes for training and evaluation were set to 2 and 8, respectively, with total training conducted over 3 epochs.
LLM NameResults
Repository 🤗https://huggingface.co/Noodle-bg/results 
Base Model(s)  Open Llama 3b V2   openlm-research/open_llama_3b_v2
Model Size3b
Required VRAM0.9 GB
Updated2024-08-15
MaintainerNoodle-bg
Model Files  0.9 GB   0.0 GB
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length2048
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|k_proj|q_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than Noodle-bg/results.

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