| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: nli-cross-encoder-roberta |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # nli-cross-encoder-roberta |
| |
|
| | This model is a fine-tuned version of [MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.4859 |
| | - Accuracy: 0.9448 |
| | - F1 Macro: 0.9469 |
| |
|
| | ## 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: 64 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 32 |
| | - 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: cosine |
| | - lr_scheduler_warmup_ratio: 0.06 |
| | - num_epochs: 8 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
| | | 0.1806 | 1.0 | 211 | 0.3069 | 0.9088 | 0.9134 | |
| | | 0.1021 | 2.0 | 422 | 0.1795 | 0.9530 | 0.9544 | |
| | | 0.0343 | 3.0 | 633 | 0.4396 | 0.9365 | 0.9389 | |
| | | 0.0182 | 4.0 | 844 | 0.4025 | 0.9475 | 0.9496 | |
| | | 0.0047 | 5.0 | 1055 | 0.4674 | 0.9420 | 0.9441 | |
| | | 0.0014 | 6.0 | 1266 | 0.4457 | 0.9448 | 0.9469 | |
| | | 0.0049 | 7.0 | 1477 | 0.4835 | 0.9448 | 0.9469 | |
| | | 0.0004 | 8.0 | 1688 | 0.4859 | 0.9448 | 0.9469 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.56.1 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.0 |
| |
|
