End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: token_classification_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. -->
+
+# token_classification_NER
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2846
+- Precision: 0.5612
+- Recall: 0.3911
+- F1: 0.4610
+- Accuracy: 0.9474
+
+## 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: 16
+- eval_batch_size: 16
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 213  | 0.2774          | 0.5309    | 0.2706 | 0.3585 | 0.9397   |
+| No log        | 2.0   | 426  | 0.2704          | 0.5238    | 0.2854 | 0.3695 | 0.9424   |
+| 0.185         | 3.0   | 639  | 0.2761          | 0.5614    | 0.3559 | 0.4356 | 0.9461   |
+| 0.185         | 4.0   | 852  | 0.2790          | 0.5812    | 0.3846 | 0.4629 | 0.9477   |
+| 0.0533        | 5.0   | 1065 | 0.2846          | 0.5612    | 0.3911 | 0.4610 | 0.9474   |
+
+
+### Framework versions
+
+- Transformers 4.53.3
+- Pytorch 2.9.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.21.4

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