kangoroo-no-subgraph-phi-3-mini-LoRA

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: 0.2338

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
1.4504 0.2892 100 1.0894
0.8508 0.5785 200 0.6406
0.5328 0.8677 300 0.4493
0.4011 1.1569 400 0.3575
0.3328 1.4461 500 0.3085
0.291 1.7354 600 0.2769
0.2711 2.0246 700 0.2585
0.2494 2.3138 800 0.2453
0.2361 2.6030 900 0.2378
0.2348 2.8923 1000 0.2338

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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