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e5_Biodiversite_MultiLabel_06082025
Ludo33/e5_Biodiversite_MultiLabel_06082025
e5_Biodiversite_MultiLabel_06082025 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 6, 2025
- Updated
- Aug 6, 2025
- SHA
- 32d53faa
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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_Biodiversite_MultiLabel_06082025
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: 0.1245
- F1 Weighted: 0.9614
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 |
|---|---|---|---|---|
| 0.9118 | 1.0 | 252 | 0.5453 | 0.7158 |
| 0.4845 | 2.0 | 504 | 0.3368 | 0.8410 |
| 0.3304 | 3.0 | 756 | 0.2621 | 0.8810 |
| 0.2507 | 4.0 | 1008 | 0.2191 | 0.9057 |
| 0.1983 | 5.0 | 1260 | 0.1854 | 0.9236 |
| 0.1609 | 6.0 | 1512 | 0.1705 | 0.9323 |
| 0.1336 | 7.0 | 1764 | 0.1572 | 0.9431 |
| 0.1132 | 8.0 | 2016 | 0.1415 | 0.9467 |
| 0.0968 | 9.0 | 2268 | 0.1309 | 0.9550 |
| 0.0834 | 10.0 | 2520 | 0.1266 | 0.9589 |
| 0.0739 | 11.0 | 2772 | 0.1241 | 0.9611 |
| 0.0645 | 12.0 | 3024 | 0.1245 | 0.9614 |
Framework versions
- Transformers 4.54.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Aug 6, 2025
- Updated
- Aug 6, 2025