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a7c9fd50-c061-4752-b720-b2d3d69762bc

This model is a fine-tuned version of unsloth/codegemma-2b on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5859

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: 0.000207
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 50
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss
No log 0.0000 1 2.9066
1.6797 0.0016 50 1.8520
1.6838 0.0032 100 1.8346
1.8328 0.0049 150 1.7967
1.6822 0.0065 200 1.7772
1.7255 0.0081 250 1.7434
1.5466 0.0097 300 1.6769
1.5499 0.0113 350 1.6311
1.549 0.0130 400 1.6061
1.5332 0.0146 450 1.5877
1.4883 0.0162 500 1.5859

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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