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multipride_umberto_ner_sent
grexit-d/multipride_umberto_ner_sent
multipride_umberto_ner_sent 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
- 0264926e
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_sent
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2648
- Accuracy: 0.9264
- Precision: 0.9074
- Recall: 0.8435
- F1: 0.8706
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 |
|---|---|---|---|---|---|---|---|
| 0.4622 | 1.0 | 95 | 0.3481 | 0.8896 | 0.94 | 0.7097 | 0.7635 |
| 0.2351 | 2.0 | 190 | 0.2836 | 0.9202 | 0.9330 | 0.8027 | 0.8489 |
| 0.2174 | 3.0 | 285 | 0.2452 | 0.9264 | 0.8877 | 0.8682 | 0.8774 |
| 0.2162 | 4.0 | 380 | 0.2785 | 0.9264 | 0.9208 | 0.8311 | 0.8668 |
| 0.1177 | 5.0 | 475 | 0.2648 | 0.9264 | 0.9074 | 0.8435 | 0.8706 |
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