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phi-4-gec-bea2019 – AI Model by ntnu-smil | AlphaNeural AI
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phi-4-gec-bea2019
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transformers
tensorboard
safetensors
phi3
text-generation
generated_from_trainer
conversational
custom_code
microsoft/Phi-4-mini-instruct
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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phi-4-gec-bea2019
This model is a fine-tuned version of
microsoft/Phi-4-mini-instruct
on an unknown 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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.95) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 3
Training results
Framework versions
Transformers 4.50.3
Pytorch 2.1.0+cu118
Datasets 3.5.0
Tokenizers 0.21.1
