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results – AI Model by IndraneelKumar | AlphaNeural AI
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results
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peft
safetensors
generated_from_trainer
legal_summarization
microsoft/phi-2
adapter
mit
us
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This model is a fine-tuned version of
microsoft/phi-2
on the legal_summarization 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: 3
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
num_epochs: 1
Training results
Framework versions
PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
