target-abroad-de
This model is a fine-tuned version of MoritzLaurer/mDeBERTa-v3-base-mnli-xnli on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- 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: 41
- num_epochs: 3
Framework versions
- Transformers 5.0.0
- Pytorch 2.9.0+cu126
- Datasets 4.5.0
- Tokenizers 0.22.2
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Model tree for selsar/target-abroad-de
Base model
MoritzLaurer/mDeBERTa-v3-base-mnli-xnli