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bert-base-multilingual-uncased-finetuned-depi
waelmoham6d/bert-base-multilingual-uncased-finetuned-depi
bert-base-multilingual-uncased-finetuned-depi is a machine learning model from waelmoham6d. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 4, 2026
- Updated
- Aug 4, 2026
- SHA
- a8e89e69
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-uncased-finetuned-depi
This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9543
- Accuracy: 0.6755
- F1: 0.6648
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 221 | 1.1369 | 0.6102 | 0.5912 |
| 1.3985 | 2.0 | 442 | 1.0138 | 0.6556 | 0.6438 |
| 0.9184 | 3.0 | 663 | 0.9540 | 0.6660 | 0.6595 |
| 0.9184 | 4.0 | 884 | 0.9546 | 0.6774 | 0.6653 |
| 0.709 | 5.0 | 1105 | 0.9543 | 0.6755 | 0.6648 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.11.0+cu128
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- bert
- License
- apache-2.0
- Created
- Aug 4, 2026
- Updated
- Aug 4, 2026