NER Training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: dslim/distilbert-NER
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbert-NER-Math-finetuned
+  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. -->
+
+# distilbert-NER-Math-finetuned
+
+This model is a fine-tuned version of [dslim/distilbert-NER](https://huggingface.co/dslim/distilbert-NER) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3726
+- F1 Score: 0.9151
+
+## 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: 3e-05
+- train_batch_size: 5
+- eval_batch_size: 5
+- seed: 42
+- optimizer: Use 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 | F1 Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0429        | 1.0   | 1067 | 0.4390          | 0.8960   |
+| 0.103         | 2.0   | 2134 | 0.3767          | 0.9042   |
+| 0.0238        | 3.0   | 3201 | 0.3726          | 0.9151   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

runs/Jan02_12-04-09_705a1d9f60bb/events.out.tfevents.1735819471.705a1d9f60bb.560.3

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