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multipride_umberto_ner
grexit-d/multipride_umberto_ner
multipride_umberto_ner is a machine learning model from grexit-d. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- umberto_ner
- Access
- Public
- Created
- Dec 4, 2025
- Updated
- Dec 4, 2025
- SHA
- 34534a15
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_ner
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2343
- Accuracy: 0.9325
- Precision: 0.9026
- Recall: 0.8719
- F1: 0.8862
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 |
|---|---|---|---|---|---|---|---|
| 0.491 | 1.0 | 95 | 0.3350 | 0.9018 | 0.9459 | 0.7419 | 0.7975 |
| 0.2737 | 2.0 | 190 | 0.3016 | 0.9080 | 0.8771 | 0.8074 | 0.8360 |
| 0.2221 | 3.0 | 285 | 0.3218 | 0.8896 | 0.8137 | 0.9071 | 0.8456 |
| 0.2015 | 4.0 | 380 | 0.2428 | 0.9264 | 0.8805 | 0.8805 | 0.8805 |
| 0.1783 | 5.0 | 475 | 0.2343 | 0.9325 | 0.9026 | 0.8719 | 0.8862 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- umberto_ner
- Created
- Dec 4, 2025
- Updated
- Dec 4, 2025