Edit model card

Visualize in Weights & Biases

ADL_Gemma4

This model is a fine-tuned version of zake7749/gemma-2-2b-it-chinese-kyara-dpo on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3535

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine_with_restarts
  • lr_scheduler_warmup_ratio: 0.02
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
1.5844 1.0 1250 1.4583
1.4602 2.0 2500 1.3865
1.4141 3.0 3750 1.3632
1.4011 4.0 5000 1.3547
1.3975 5.0 6250 1.3535

Framework versions

  • PEFT 0.13.2
  • Transformers 4.45.1
  • Pytorch 2.5.0+cu121
  • Datasets 3.0.2
  • Tokenizers 0.20.1
Downloads last month
20
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for b09501048/ADL_Gemma4

Base model

google/gemma-2-2b
Adapter
(22)
this model