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xlm-roberta-base-finetuned-panx-de-fr
qingdimeng/xlm-roberta-base-finetuned-panx-de-fr
xlm-roberta-base-finetuned-panx-de-fr is a machine learning model from qingdimeng. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Aug 2, 2025
- Updated
- Aug 2, 2025
- SHA
- e24f1f8c
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-fr
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1617
- F1: 0.8579
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.3003 | 1.0 | 715 | 0.1877 | 0.8256 |
| 0.1476 | 2.0 | 1430 | 0.1592 | 0.8511 |
| 0.0953 | 3.0 | 2145 | 0.1617 | 0.8579 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.7.1+cu118
- Datasets 1.16.1
- Tokenizers 0.21.4
- Type
- xlm-roberta
- License
- mit
- Created
- Aug 2, 2025
- Updated
- Aug 2, 2025