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mfdoom_coding_Phi-3-mini-4k-instruct_adapter-2 – AI Model by selimsheker | AlphaNeural AI
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mfdoom_coding_Phi-3-mini-4k-instruct_adapter-2
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microsoft/Phi-3-mini-4k-instruct
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Model card
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2024-09-12_16:02
This model is a fine-tuned version of
./models//microsoft/Phi-3-mini-4k-instruct
on the coding dataset. It achieves the following results on the evaluation set:
Loss: 1.5729
Accuracy: 0.5958
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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.5967
0.0356
4
1.5761
0.5944
Framework versions
PEFT 0.11.1
Transformers 4.42.4
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
