End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: PII-Binary-Filter-financial-pii-ready
+  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. -->
+
+# PII-Binary-Filter-financial-pii-ready
+
+This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1041
+- Accuracy: 0.9613
+- F1: 0.9788
+- Precision: 0.9649
+- Recall: 0.9931
+
+## 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: 32
+- eval_batch_size: 64
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.2687        | 1.0   | 684  | 0.1957          | 0.9201   | 0.9569 | 0.9305    | 0.9849 |
+| 0.1842        | 2.0   | 1368 | 0.1127          | 0.9597   | 0.9778 | 0.9703    | 0.9854 |
+| 0.0946        | 3.0   | 2052 | 0.1041          | 0.9613   | 0.9788 | 0.9649    | 0.9931 |
+
+
+### Framework versions
+
+- Transformers 4.56.0
+- Pytorch 2.8.0+cu129
+- Datasets 4.8.2
+- Tokenizers 0.22.0