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phi-1_5-2024-04-16-13-51-ueg2C – AI Model by frenkd | AlphaNeural AI
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phi-1_5-2024-04-16-13-51-ueg2C
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peft
safetensors
trl
sft
generated_from_trainer
generator
microsoft/phi-1_5
adapter
mit
us
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phi-1_5-2024-04-16-13-51-ueg2C
This model is a fine-tuned version of
microsoft/phi-1_5
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
