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distilbert-base-multilingual-shared-task
FarhanAmin0068/distilbert-base-multilingual-shared-task
distilbert-base-multilingual-shared-task is a text classification model from FarhanAmin0068. 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
- distilbert
- Access
- Public
- Created
- Mar 30, 2025
- Updated
- Mar 30, 2025
- SHA
- 38534989
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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. -->
distilbert-base-multilingual-shared-task
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6391
- Precision: 0.7004
- Recall: 0.7079
- Accuracy: 0.7786
- F1: 0.7039
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 286
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 |
|---|---|---|---|---|---|---|---|
| 0.6946 | 1.0 | 96 | 0.6838 | 0.5609 | 0.5554 | 0.6895 | 0.5573 |
| 0.6654 | 2.0 | 192 | 0.6342 | 0.6254 | 0.6664 | 0.5798 | 0.5663 |
| 0.5334 | 3.0 | 288 | 0.5752 | 0.6798 | 0.7006 | 0.7571 | 0.6878 |
| 0.4491 | 4.0 | 384 | 0.6391 | 0.7004 | 0.7079 | 0.7786 | 0.7039 |
| 0.371 | 5.0 | 480 | 0.7457 | 0.6774 | 0.6629 | 0.7669 | 0.6691 |
| 0.2751 | 6.0 | 576 | 0.7689 | 0.6586 | 0.6758 | 0.7405 | 0.6652 |
| 0.2005 | 7.0 | 672 | 1.1899 | 0.7265 | 0.6390 | 0.7933 | 0.6582 |
| 0.1462 | 8.0 | 768 | 1.1159 | 0.6876 | 0.6550 | 0.7757 | 0.6666 |
| 0.1084 | 9.0 | 864 | 1.1029 | 0.6809 | 0.6872 | 0.7640 | 0.6838 |
| 0.1046 | 10.0 | 960 | 1.2153 | 0.6780 | 0.6608 | 0.7679 | 0.6680 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 30, 2025
- Updated
- Mar 30, 2025