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xlm-roberta-ner-ja
ewfian/xlm-roberta-ner-ja
xlm-roberta-ner-ja is a token classification model from ewfian. Use it when you need labels on individual words, such as names. 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
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Dec 2, 2023
- Updated
- Dec 2, 2023
- SHA
- e5014d60
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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-ner-ja
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: 0.1301
- F1: 0.8804
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 1451 | 0.1113 | 0.8286 |
| No log | 2.0 | 2902 | 0.0990 | 0.8487 |
| No log | 3.0 | 4353 | 0.1079 | 0.8611 |
| No log | 4.0 | 5804 | 0.1120 | 0.8738 |
| No log | 5.0 | 7255 | 0.1301 | 0.8804 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Token Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Languages
- ja
- Created
- Dec 2, 2023
- Updated
- Dec 2, 2023