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e5_RSE_MultiLabel_11082025
Ludo33/e5_RSE_MultiLabel_11082025
e5_RSE_MultiLabel_11082025 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 11, 2025
- Updated
- Aug 11, 2025
- SHA
- 753c72cb
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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_RSE_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: 0.1417
- F1 Weighted: 0.9479
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 |
|---|---|---|---|---|
| 0.9065 | 1.0 | 276 | 0.5238 | 0.7205 |
| 0.4792 | 2.0 | 552 | 0.3395 | 0.8138 |
| 0.3315 | 3.0 | 828 | 0.2634 | 0.8660 |
| 0.2536 | 4.0 | 1104 | 0.2347 | 0.8898 |
| 0.2039 | 5.0 | 1380 | 0.2079 | 0.9054 |
| 0.1671 | 6.0 | 1656 | 0.1819 | 0.9228 |
| 0.1403 | 7.0 | 1932 | 0.1779 | 0.9260 |
| 0.121 | 8.0 | 2208 | 0.1647 | 0.9340 |
| 0.1069 | 9.0 | 2484 | 0.1544 | 0.9404 |
| 0.0917 | 10.0 | 2760 | 0.1495 | 0.9456 |
| 0.0828 | 11.0 | 3036 | 0.1470 | 0.9461 |
| 0.0753 | 12.0 | 3312 | 0.1420 | 0.9481 |
| 0.0696 | 13.0 | 3588 | 0.1417 | 0.9479 |
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 11, 2025
- Updated
- Aug 11, 2025