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checkpoint_dir – AI Model by byh711 | AlphaNeural AI
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byh711
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checkpoint_dir
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peft
safetensors
trl
sft
generated_from_trainer
generator
microsoft/Phi-3-mini-4k-instruct
adapter
mit
us
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checkpoint_dir
This model is a fine-tuned version of
microsoft/Phi-3-mini-4k-instruct
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: 0.0005
train_batch_size: 2
eval_batch_size: 2
seed: 0
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.10.0
Transformers 4.36.0
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.15.0