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phi2_linear_syntetic-question-answering – AI Model by lvcalucioli | AlphaNeural AI
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phi2_linear_syntetic-question-answering
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peft
safetensors
trl
sft
generated_from_trainer
microsoft/phi-2
adapter
mit
us
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phi2_linear_syntetic-question-answering
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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3
Training results
Framework versions
PEFT 0.8.2
Transformers 4.39.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.15.2
