outputs_target_abroad_de_final

• Loss: nan
• Accuracy Mc: 0.5
• Precision Macro: 0.25
• Recall Macro: 0.5
• F1 Macro: 0.3333
• Precision Weighted: 0.25
• Recall Weighted: 0.5
• F1 Weighted: 0.3333
• Accuracy Bin: 0.5
• Precision Bin: 0.0
• Recall Bin: 0.0
• F1 Bin: 0.0
• Auc Bin: nan

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 0.06
• num_epochs: 3

Training results

Framework versions

• Transformers 5.0.0
• Pytorch 2.9.0+cu126
• Datasets 4.5.0
• Tokenizers 0.22.2