---
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: 0.0483
- F1 Score: 0.9453

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1 Score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1069        | 1.0   | 1534  | 0.0825          | 0.8414   |
| 0.0553        | 2.0   | 3068  | 0.0587          | 0.8826   |
| 0.0369        | 3.0   | 4602  | 0.0472          | 0.9125   |
| 0.018         | 4.0   | 6136  | 0.0465          | 0.9206   |
| 0.0127        | 5.0   | 7670  | 0.0447          | 0.9351   |
| 0.0057        | 6.0   | 9204  | 0.0473          | 0.9377   |
| 0.0045        | 7.0   | 10738 | 0.0465          | 0.9427   |
| 0.0019        | 8.0   | 12272 | 0.0500          | 0.9409   |
| 0.0026        | 9.0   | 13806 | 0.0486          | 0.9446   |
| 0.0015        | 10.0  | 15340 | 0.0483          | 0.9453   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0