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Phi4-Mini-PL-MoE-Superior-27k-27k
ShourenWSR/Phi4-Mini-PL-MoE-Superior-27k-27k
Phi4-Mini-PL-MoE-Superior-27k-27k is a feature extraction model from ShourenWSR. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- other
- Model type
- phi4_mini_pl_moe
- Access
- Public
- Created
- Mar 28, 2026
- Updated
- Mar 28, 2026
- SHA
- 2d23f7ee
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
phi4_mini_superior_27k_27k
This model is a fine-tuned version of models/phi4_mini_pl_moe_initialized on the superior_reasoning_27k_27k dataset.
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 6
- total_train_batch_size: 48
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.56.2
- Pytorch 2.5.1+cu124
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Feature Extraction
- Library
- transformers
- Type
- phi4_mini_pl_moe
- License
- other
- Created
- Mar 28, 2026
- Updated
- Mar 28, 2026