adl-hw3-gemma-ch-3

• Loss: 2.1913

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 3e-05
• 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: 6

Training results

Framework versions

• PEFT 0.13.2
• Transformers 4.45.1
• Pytorch 2.5.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3