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bert-base-multilingual-cased-finetuned-lang_class
emmabedna/bert-base-multilingual-cased-finetuned-lang_class
bert-base-multilingual-cased-finetuned-lang_class is a token classification model from emmabedna. 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
- Dec 8, 2023
- Updated
- Jan 4, 2024
- SHA
- 4c8af026
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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. -->
bert-base-multilingual-cased-finetuned-lang_class
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: 0.0695
- Precision: 0.9145
- Recall: 0.9198
- F1: 0.9172
- Accuracy: 0.9832
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: 10
- eval_batch_size: 10
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 233 | 0.0872 | 0.8926 | 0.8930 | 0.8928 | 0.9782 |
| No log | 2.0 | 466 | 0.0705 | 0.9115 | 0.9182 | 0.9148 | 0.9824 |
| 0.1923 | 3.0 | 699 | 0.0695 | 0.9145 | 0.9198 | 0.9172 | 0.9832 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 8, 2023
- Updated
- Jan 4, 2024