step_val_25_gemma-2-2b_hs2_iter1_sftsd0

• Loss: 1.0964
• Num Input Tokens Seen: 1474984

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 8e-06
• train_batch_size: 8
• eval_batch_size: 16
• seed: 0
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_ratio: 0.05
• training_steps: 25

Training results

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1