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phi-2-finetuned-labeledsbc – AI Model by mohits01 | AlphaNeural AI
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phi-2-finetuned-labeledsbc
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peft
tensorboard
safetensors
phi
generated_from_trainer
custom_code
microsoft/phi-2
adapter
mit
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phi-2-finetuned-labeledsbc
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: 6
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 50
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2
