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phi4-lora-xaji0y6d-1742306687 – AI Model by Swephoenix | AlphaNeural AI
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Swephoenix
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phi4-lora-xaji0y6d-1742306687
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peft
safetensors
generated_from_trainer
microsoft/Phi-4-mini-instruct
adapter
mit
us
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phi4-lora-xaji0y6d-1742306687
This model is a fine-tuned version of
microsoft/Phi-4-mini-instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 17.2338
Perplexity: 30518534.8524
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: 3e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.15
num_epochs: 15
Training results
Training Loss
Epoch
Step
Validation Loss
Perplexity
5.7359
0.0664
5
17.2156
29967094.9946
6.77
0.1329
10
17.2293
30381179.4484
6.5826
0.1993
15
17.2174
30019325.4366
6.2712
0.2658
20
17.2338
30518534.8524
Framework versions
PEFT 0.14.0
Transformers 4.48.2
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
