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bded1da1-3883-4955-b37d-93166917e81f

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

  • Loss: 1.3584

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: 0.000213
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 130
  • 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 1.6351
1.4772 0.0008 50 1.4472
1.4191 0.0017 100 1.4402
1.3336 0.0025 150 1.4424
1.4068 0.0033 200 1.4276
1.3105 0.0041 250 1.4096
1.3745 0.0050 300 1.3933
1.3683 0.0058 350 1.3762
1.3733 0.0066 400 1.3655
1.2701 0.0075 450 1.3595
1.3175 0.0083 500 1.3584

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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