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xlm-roberta-base-finetuned-panx-all
qingdimeng/xlm-roberta-base-finetuned-panx-all
xlm-roberta-base-finetuned-panx-all 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
- 2398517b
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-all
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: 0.1753
- F1: 0.8511
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 |
|---|---|---|---|---|
| 0.2982 | 1.0 | 835 | 0.1891 | 0.8164 |
| 0.1581 | 2.0 | 1670 | 0.1761 | 0.8444 |
| 0.1015 | 3.0 | 2505 | 0.1753 | 0.8511 |
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