gpt2_small_expandedbabyLM_100M_subj_200percent_42

• Loss: 3.5685

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 0.0001
• train_batch_size: 256
• eval_batch_size: 256
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 4000
• num_epochs: 20

Training results

Framework versions

• Transformers 4.30.2
• Pytorch 2.10.0+cu128
• Datasets 4.1.1
• Tokenizers 0.13.3