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e5_Energie_MultiLabel_12082025
Ludo33/e5_Energie_MultiLabel_12082025
e5_Energie_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
- 498e51e7
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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. -->
e5_Energie_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: 0.1449
- F1 Weighted: 0.9378
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 |
|---|---|---|---|---|
| 0.8575 | 1.0 | 371 | 0.4846 | 0.7216 |
| 0.4435 | 2.0 | 742 | 0.3305 | 0.8209 |
| 0.3163 | 3.0 | 1113 | 0.2700 | 0.8520 |
| 0.2478 | 4.0 | 1484 | 0.2310 | 0.8778 |
| 0.2019 | 5.0 | 1855 | 0.2029 | 0.8965 |
| 0.1715 | 6.0 | 2226 | 0.1865 | 0.9044 |
| 0.1451 | 7.0 | 2597 | 0.1685 | 0.9192 |
| 0.1244 | 8.0 | 2968 | 0.1624 | 0.9224 |
| 0.1088 | 9.0 | 3339 | 0.1529 | 0.9301 |
| 0.0951 | 10.0 | 3710 | 0.1507 | 0.9352 |
| 0.0857 | 11.0 | 4081 | 0.1537 | 0.9340 |
| 0.077 | 12.0 | 4452 | 0.1448 | 0.9362 |
| 0.0712 | 13.0 | 4823 | 0.1449 | 0.9378 |
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