Training complete

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: DeepMount00/Italian-ModernBERT-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: modernbert-italian-finetuned-ner
+  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. -->
+
+# modernbert-italian-finetuned-ner
+
+This model is a fine-tuned version of [DeepMount00/Italian-ModernBERT-base](https://huggingface.co/DeepMount00/Italian-ModernBERT-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0422
+- Precision: 0.9339
+- Recall: 0.9452
+- F1: 0.9395
+- Accuracy: 0.9909
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0277        | 1.0   | 11050 | 0.0324          | 0.9233    | 0.9362 | 0.9297 | 0.9899   |
+| 0.0139        | 2.0   | 22100 | 0.0341          | 0.9327    | 0.9428 | 0.9377 | 0.9907   |
+| 0.0052        | 3.0   | 33150 | 0.0422          | 0.9339    | 0.9452 | 0.9395 | 0.9909   |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0