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98a0e09a-cde9-4004-a032-0162d78265b7

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: 0.9889

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: 0.00021
  • 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 0.0002 1 1.4560
1.5853 0.0076 50 1.1970
1.4719 0.0151 100 1.1673
1.534 0.0227 150 1.1341
1.4326 0.0302 200 1.0999
1.2533 0.0378 250 1.0667
1.4015 0.0453 300 1.0479
1.2949 0.0529 350 1.0182
1.2962 0.0604 400 1.0010
1.4164 0.0680 450 0.9905
1.4048 0.0755 500 0.9889

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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