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SFTCodePhi1 – AI Model by AdnanRiaz107 | AlphaNeural AI
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AdnanRiaz107
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SFTCodePhi1
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safetensors
phi3
trl
sft
generated_from_trainer
custom_code
apps
microsoft/Phi-3-mini-128k-instruct
finetune
mit
us
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SFTCodePhi1
This model is a fine-tuned version of
microsoft/Phi-3-mini-128k-instruct
on the apps dataset. It achieves the following results on the evaluation set:
Loss: 0.8314
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: 1
training_steps: 10
Training results
Training Loss
Epoch
Step
Validation Loss
0.8547
0.0337
10
0.8314
Framework versions
Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
