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CodePhi-3-mini-4k-instruct-pythonAPPSWOLORA – AI Model by AdnanRiaz107 | AlphaNeural AI
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AdnanRiaz107
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CodePhi-3-mini-4k-instruct-pythonAPPSWOLORA
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transformers
safetensors
phi3
text-generation
generated_from_trainer
conversational
custom_code
AdnanRiaz107/CodePhi-3-mini-4k-instruct-python
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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CodePhi-3-mini-4k-instruct-pythonAPPSWOLORA
This model is a fine-tuned version of
AdnanRiaz107/CodePhi-3-mini-4k-instruct-python
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5795
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-05
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: 100
training_steps: 1200
Training results
Training Loss
Epoch
Step
Validation Loss
0.6559
0.1667
200
0.6520
0.6709
0.3333
400
0.6225
0.5701
0.5
600
0.5980
0.5371
0.6667
800
0.5818
0.4926
0.8333
1000
0.5789
0.5058
1.0
1200
0.5795
Framework versions
Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1