Downloads · 30 days
13
3% of all-time downloads
e5_Eau_MultiLabel_11082025
Ludo33/e5_Eau_MultiLabel_11082025
e5_Eau_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. --
All-time downloads
477
Public
Parameters
560M
24.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.2 GB · 99%
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
- d8d20cb8
Try a prompt
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_Eau_MultiLabel_11082025
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: 0.1331
- F1 Weighted: 0.9470
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 |
|---|---|---|---|---|
| 0.8709 | 1.0 | 301 | 0.4930 | 0.7571 |
| 0.4544 | 2.0 | 602 | 0.3048 | 0.8571 |
| 0.3176 | 3.0 | 903 | 0.2377 | 0.8905 |
| 0.2451 | 4.0 | 1204 | 0.2031 | 0.9050 |
| 0.1986 | 5.0 | 1505 | 0.1785 | 0.9204 |
| 0.1628 | 6.0 | 1806 | 0.1589 | 0.9288 |
| 0.1422 | 7.0 | 2107 | 0.1487 | 0.9354 |
| 0.1227 | 8.0 | 2408 | 0.1372 | 0.9431 |
| 0.1091 | 9.0 | 2709 | 0.1336 | 0.9453 |
| 0.0959 | 10.0 | 3010 | 0.1261 | 0.9488 |
| 0.086 | 11.0 | 3311 | 0.1331 | 0.9470 |
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