Downloads · 30 days
24
39% of all-time downloads
multipride_umberto
grexit-d/multipride_umberto
multipride_umberto is a text classification model from grexit-d. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
62
Public
Parameters
111M
2.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors443 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- camembert
- Access
- Public
- Created
- Dec 4, 2025
- Updated
- Dec 4, 2025
- SHA
- 66dc32d1
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. -->
multipride_umberto
This model is a fine-tuned version of Musixmatch/umberto-commoncrawl-cased-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3664
- Accuracy: 0.9202
- Precision: 0.9015
- Recall: 0.8273
- F1: 0.8578
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.3334 | 1.0 | 95 | 0.3002 | 0.9080 | 0.9239 | 0.7704 | 0.8199 |
| 0.2216 | 2.0 | 190 | 0.2308 | 0.9141 | 0.9285 | 0.7865 | 0.8346 |
| 0.1196 | 3.0 | 285 | 0.3063 | 0.9202 | 0.8593 | 0.9014 | 0.8779 |
| 0.0925 | 4.0 | 380 | 0.3114 | 0.9264 | 0.8965 | 0.8558 | 0.8742 |
| 0.0292 | 5.0 | 475 | 0.3664 | 0.9202 | 0.9015 | 0.8273 | 0.8578 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- Created
- Dec 4, 2025
- Updated
- Dec 4, 2025