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phi3.5-mini-adapter_v0

This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0423

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: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • training_steps: 250

Training results

Training Loss Epoch Step Validation Loss
11.9711 0.1509 10 10.5546
0.0847 0.3019 20 0.1104
0.0989 0.4528 30 0.0840
0.0543 0.6038 40 0.0588
0.0392 0.7547 50 0.0490
0.0447 0.9057 60 0.0457
0.0465 1.0566 70 0.0435
0.0317 1.2075 80 0.0445
0.0443 1.3585 90 0.0423

Framework versions

  • PEFT 0.11.1
  • Transformers 4.43.1
  • Pytorch 2.4.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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