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xlm-roberta-base-finetuned-panx-ar
zaid-33/xlm-roberta-base-finetuned-panx-ar
xlm-roberta-base-finetuned-panx-ar is a token classification model from zaid-33. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Nov 25, 2023
- Updated
- Nov 25, 2023
- SHA
- 2e978b9f
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Datasets
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-ar
This model is a fine-tuned version of tner/xlm-roberta-base-panx-dataset-ar on the xtreme dataset. It achieves the following results on the evaluation set:
- Loss: 0.2237
- F1: 0.8895
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 |
|---|---|---|---|---|
| 0.234 | 1.0 | 525 | 0.2382 | 0.8587 |
| 0.1244 | 2.0 | 1050 | 0.2153 | 0.8844 |
| 0.0738 | 3.0 | 1575 | 0.2237 | 0.8895 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.1.0+cu118
- Datasets 1.16.1
- Tokenizers 0.15.0
- Task
- Token Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Nov 25, 2023
- Updated
- Nov 25, 2023