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phi_finetuned2.0 – AI Model by DMLuck | AlphaNeural AI
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phi_finetuned2.0
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peft
tensorboard
safetensors
phi
generated_from_trainer
custom_code
microsoft/phi-1_5
adapter
mit
us
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phi_finetuned2.0
This model is a fine-tuned version of
microsoft/phi-1_5
on an unknown 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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 12
total_train_batch_size: 12
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
mixed_precision_training: Native AMP
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
