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phi-1_5-finetuned-mcq – AI Model by MoulikBansal | AlphaNeural AI
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phi-1_5-finetuned-mcq
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peft
tensorboard
safetensors
generated_from_trainer
microsoft/phi-1_5
adapter
mit
us
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phi-1_5-finetuned-mcq
This model is a fine-tuned version of
microsoft/phi-1_5
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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 1000
Training results
Framework versions
PEFT 0.7.1
Transformers 4.37.0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
