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Frozen11-BERT-multilingual-finetuned-CEFR_ner-3000news
DioBot2000/Frozen11-BERT-multilingual-finetuned-CEFR_ner-3000news
Frozen11-BERT-multilingual-finetuned-CEFR_ner-3000news is a token classification model from DioBot2000. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 24, 2024
- Updated
- May 24, 2024
- SHA
- 24c5e9df
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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. -->
Frozen11-BERT-multilingual-finetuned-CEFR_ner-3000news
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5722
- Accuracy: 0.3776
- Precision: 0.5076
- Recall: 0.5639
- F1: 0.4282
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 132 | 0.6172 | 0.3650 | 0.5084 | 0.5115 | 0.3886 |
| No log | 2.0 | 264 | 0.6107 | 0.3674 | 0.5113 | 0.5258 | 0.3962 |
| No log | 3.0 | 396 | 0.6047 | 0.3699 | 0.5045 | 0.5339 | 0.4050 |
| 0.5138 | 4.0 | 528 | 0.5961 | 0.3717 | 0.5108 | 0.5417 | 0.4106 |
| 0.5138 | 5.0 | 660 | 0.5889 | 0.3733 | 0.5119 | 0.5438 | 0.4156 |
| 0.5138 | 6.0 | 792 | 0.5854 | 0.3745 | 0.5108 | 0.5465 | 0.4169 |
| 0.5138 | 7.0 | 924 | 0.5809 | 0.3753 | 0.5043 | 0.5549 | 0.4204 |
| 0.4473 | 8.0 | 1056 | 0.5791 | 0.3762 | 0.5066 | 0.5546 | 0.4202 |
| 0.4473 | 9.0 | 1188 | 0.5773 | 0.3763 | 0.5034 | 0.5624 | 0.4245 |
| 0.4473 | 10.0 | 1320 | 0.5772 | 0.3765 | 0.5009 | 0.5625 | 0.4242 |
| 0.4473 | 11.0 | 1452 | 0.5724 | 0.3775 | 0.5049 | 0.5646 | 0.4278 |
| 0.4256 | 12.0 | 1584 | 0.5722 | 0.3776 | 0.5076 | 0.5639 | 0.4282 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 24, 2024
- Updated
- May 24, 2024