Adapter Alignment-handbook Base model:adapter:microsoft/p... Base model:microsoft/phi-2 Dataset:huggingfaceh4/ultrafee... Dpo Finetuned Generated from trainer Lora Peft Phi Region:us Safetensors Tensorboard Trl
Phi 2 Gpo Renew2 B0.001 0.5ultrafeedback LowLr I1 Benchmarks
ARC: 61.01 vs 96.7 (so35)-36.9%
HellaSwag: 74.94 vs 95.3 (gpt4)-21.4%
MMLU: 57.9 vs 88.3 (so35)-34.4%
TruthfulQA: 44.33 vs 59 (gpt4)-24.9%
WinoGrande: 73.64 vs 87.5 (gpt4)-15.8%
GSM8K: 56.33 vs 96.4 (so35)-41.6%
LLME Score: 0.21887
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Phi 2 Gpo Renew2 B0.001 0.5ultrafeedback LowLr I1 Parameters and Internals
| Training Details |
|
| LLM Name | Phi 2 Gpo Renew2 B0.001 0.5ultrafeedback LowLr I1 |
| Repository 🤗 | https://huggingface.co/DUAL-GPO/phi-2-gpo-renew2-b0.001-0.5ultrafeedback-lowLr-i1 |
| Base Model(s) | |
| Required VRAM | 0 GB |
| Updated | 2024-09-13 |
| Maintainer | DUAL-GPO |
| Model Files | |
| Model Architecture | Adapter |
| License | mit |
| Model Max Length | 2048 |
| Is Biased | none |
| Tokenizer Class | CodeGenTokenizer |
| Padding Token | <|endoftext|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|k_proj|dense|q_proj |
| LoRA Alpha | 128 |
| LoRA Dropout | 0.05 |
| R Param | 128 |
Best Alternatives to Phi 2 Gpo Renew2 B0.001 0.5ultrafeedback LowLr I1
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| SpectraMind | 0K / 16.1 GB | 223 | 2 |
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| Ll3 C3 Lora New | 0K / 0 GB | 7 | 0 |
| Zephyr Phi 1 5 Sft Qlora | 0K / 0 GB | 5 | 0 |
| Phi Openllm Lb Test | 0K / 0 GB | 5 | 0 |
| Hua V0.1 | 0K / 0 GB | 6 | 0 |
| CodeHAWK | 0K / 0 GB | 8 | 0 |
| ...ew2 B0.001 0.5ultrafeedback I1 | 0K / 0 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than DUAL-GPO/phi-2-gpo-renew2-b0.001-0.5ultrafeedback-lowLr-i1 .
Rank the Phi 2 Gpo Renew2 B0.001 0.5ultrafeedback LowLr I1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110