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peft_phi_2 – AI Model by Timmyafolami | AlphaNeural AI
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peft_phi_2
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peft
tensorboard
safetensors
generated_from_trainer
microsoft/phi-2
adapter
mit
us
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peft_phi_2
This model is a fine-tuned version of
microsoft/phi-2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 0.005
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
6.4514
1.0
287
6.5988
0.0
2.0
574
nan
0.0
3.0
861
nan
Framework versions
PEFT 0.11.2.dev0
Transformers 4.42.4
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
