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CodePhi-3.5-mini-0.4Klora – AI Model by AdnanRiaz107 | AlphaNeural AI
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CodePhi-3.5-mini-0.4Klora
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peft
safetensors
generated_from_trainer
microsoft/Phi-3.5-mini-instruct
adapter
mit
us
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CodePhi-3.5-mini-0.4Klora
This model is a fine-tuned version of
microsoft/Phi-3.5-mini-instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6789
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: 5e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 40
training_steps: 400
Training results
Training Loss
Epoch
Step
Validation Loss
0.603
0.25
100
0.7058
0.6586
0.5
200
0.6842
0.6558
0.75
300
0.6790
0.6028
1.0
400
0.6789
Framework versions
PEFT 0.11.0
Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
