LLMBook_bert-base-uncased-issues-128

• Loss: 1.1411

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 5e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 16

Training results

Framework versions

• Transformers 4.46.3
• Pytorch 2.3.0+cpu
• Datasets 3.2.0
• Tokenizers 0.20.3