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microsoft-phi-2-fine-tune-alpaca-chinese – AI Model by yuhonghhh | AlphaNeural AI
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microsoft-phi-2-fine-tune-alpaca-chinese
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
microsoft/phi-2
adapter
mit
us
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microsoft-phi-2-fine-tune-alpaca-chinese
This model is a fine-tuned version of
microsoft/phi-2
on the generator 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
