phi4-lora-xaji0y6d-1742299723

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: 25.3528
• Perplexity: 102470071639.741

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: 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: 0.05
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Perplexity
2.0923	1.3195	50	19.9230	449198544.2945
0.0841	2.6389	100	24.5671	46702980507.7979
0.0374	3.9584	150	25.3528	102470071639.741

Framework versions

• PEFT 0.14.0
• Transformers 4.48.2
• Pytorch 2.5.1+cu121
• Datasets 3.3.1
• Tokenizers 0.21.0