End of training

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: multipride_umberto_ner_sent
+  results: []
+---
+
+<!-- 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 [](https://huggingface.co/) 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

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