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phi2-results2 – AI Model by hiraltalsaniya | AlphaNeural AI
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hiraltalsaniya
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phi2-results2
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
microsoft/phi-2
adapter
mit
us
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phi2-results2
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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 12
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 500
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.8.1
Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
