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Phi-3-mini-4k-instruct-sa-v0.1 – AI Model by sci-m-wang | AlphaNeural AI
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Phi-3-mini-4k-instruct-sa-v0.1
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peft
safetensors
llama-factory
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microsoft/Phi-3-mini-4k-instruct
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Phi-3-mini-4k-instruct
This model is a fine-tuned version of
microsoft/Phi-3-mini-4k-instruct
on the LangGPT_community, the LangGPT_alpaca and the LangGPT_seed datasets.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 5.0
Training results
Framework versions
PEFT 0.10.0
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
Open LLM Leaderboard Evaluation Results
Detailed results can be found
here
Metric
Value
Avg.
25.55
IFEval (0-Shot)
50.21
BBH (3-Shot)
36.61
MATH Lvl 5 (4-Shot)
13.14
GPQA (0-shot)
10.51
MuSR (0-shot)
9.65
MMLU-PRO (5-shot)
33.17
