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fine-tuned-bert-base-multilingual-uncased-NED
aomar85/fine-tuned-bert-base-multilingual-uncased-NED
fine-tuned-bert-base-multilingual-uncased-NED is a text classification model from aomar85. Use it when you need a label for a piece of text. 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
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 15, 2022
- Updated
- May 16, 2022
- SHA
- 9cb224c6
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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. -->
fine-tuned-bert-base-multilingual-uncased-NED
This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2011
- Accuracy: 0.9544
- Precision: 0.9526
- Recall: 0.9787
- F1: 0.9655
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.1486 | 1.0 | 69088 | 0.1060 | 0.9660 | 0.9805 | 0.9671 | 0.9738 |
| 0.1429 | 2.0 | 138176 | 0.1431 | 0.9634 | 0.9778 | 0.9657 | 0.9718 |
| 0.1655 | 3.0 | 207264 | 0.1299 | 0.9592 | 0.9801 | 0.9569 | 0.9683 |
| 0.175 | 4.0 | 276352 | 0.2011 | 0.9544 | 0.9526 | 0.9787 | 0.9655 |
Framework versions
- Transformers 4.19.1
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 15, 2022
- Updated
- May 16, 2022