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xlm-roberta-base-finetuned-panx-de
hope613/xlm-roberta-base-finetuned-panx-de
xlm-roberta-base-finetuned-panx-de is a machine learning model from hope613. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jul 5, 2026
- Updated
- Jul 5, 2026
- SHA
- 8951ac93
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1377
- F1: 0.8639
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: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2609 | 1.0 | 525 | 0.1604 | 0.8226 |
| 0.1273 | 2.0 | 1050 | 0.1422 | 0.8515 |
| 0.0801 | 3.0 | 1575 | 0.1377 | 0.8639 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.12.0
- Datasets 5.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jul 5, 2026
- Updated
- Jul 5, 2026