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