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e5_Mobilite_MultiLabel_12082025
Ludo33/e5_Mobilite_MultiLabel_12082025
e5_Mobilite_MultiLabel_12082025 is a text classification model from Ludo33. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Aug 12, 2025
- Updated
- Aug 12, 2025
- SHA
- 4173c9b2
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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. -->
e5_Mobilite_MultiLabel_12082025
This model is a fine-tuned version of intfloat/multilingual-e5-large-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0934
- F1 Weighted: 0.9708
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: 5e-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Weighted |
|---|---|---|---|---|
| 0.9493 | 1.0 | 205 | 0.5328 | 0.7827 |
| 0.4552 | 2.0 | 410 | 0.2622 | 0.8897 |
| 0.2754 | 3.0 | 615 | 0.1951 | 0.9142 |
| 0.1966 | 4.0 | 820 | 0.1443 | 0.9431 |
| 0.1493 | 5.0 | 1025 | 0.1290 | 0.9526 |
| 0.1232 | 6.0 | 1230 | 0.1046 | 0.9629 |
| 0.1039 | 7.0 | 1435 | 0.0977 | 0.9667 |
| 0.0875 | 8.0 | 1640 | 0.1080 | 0.9597 |
| 0.0782 | 9.0 | 1845 | 0.0934 | 0.9708 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Aug 12, 2025
- Updated
- Aug 12, 2025