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adl-hw3-finetune-gemma-2-chinese-kyara-9

This model is a fine-tuned version of zake7749/gemma-2-2b-it-chinese-kyara-dpo on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.4161

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: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
2.3905 0.3556 200 2.2320
2.1861 0.7111 400 2.1389
2.0197 1.0667 600 2.1465
1.6156 1.4222 800 2.1497
1.6436 1.7778 1000 2.1270
1.3931 2.1333 1200 2.4114
1.0559 2.4889 1400 2.4010
1.0551 2.8444 1600 2.4161

Framework versions

  • PEFT 0.13.2
  • Transformers 4.45.1
  • Pytorch 2.5.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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google/gemma-2-2b
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