End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: answerdotai/ModernBERT-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: ModernBERT-base-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-base-NER
+
+This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5320
+- Precision: 0.8982
+- Recall: 0.9239
+- F1: 0.9109
+- Accuracy: 0.9822
+
+## 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: 32
+- 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: cosine
+- num_epochs: 3
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 439  | 0.5504          | 0.8433    | 0.8847 | 0.8635 | 0.9749   |
+| 0.6307        | 2.0   | 878  | 0.5335          | 0.8944    | 0.9204 | 0.9072 | 0.9818   |
+| 0.5226        | 3.0   | 1317 | 0.5320          | 0.8982    | 0.9239 | 0.9109 | 0.9822   |
+
+
+### Framework versions
+
+- Transformers 5.1.0
+- Pytorch 2.7.0a0+ecf3bae40a.nv25.02
+- Datasets 4.5.0
+- Tokenizers 0.22.2