ADL_Gemma5

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: 1.3316

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: 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: 0.03
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
1.3857	1.0	1250	1.3430
1.3912	2.0	2500	1.3419
1.3708	3.0	3750	1.3364
1.3721	4.0	5000	1.3333
1.3663	5.0	6250	1.3316

Framework versions

• PEFT 0.13.2
• Transformers 4.45.1
• Pytorch 2.5.0+cu121
• Datasets 3.0.2
• Tokenizers 0.20.1