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Phi2Model_math – AI Model by Abinayasankar | AlphaNeural AI
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Phi2Model_math
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peft
tensorboard
safetensors
trl
dpo
generated_from_trainer
microsoft/phi-2
adapter
mit
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Phi2Model_math
This model is a fine-tuned version of
microsoft/phi-2
on the None 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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 50
Training results
Framework versions
PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.15.2
