
<!-- 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. -->

# named-entity-recognition-multinerd

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the Multinerd dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0549
- Precision: 0.8963
- Recall: 0.9148
- F1: 0.9054
- Accuracy: 0.9843

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0268        | 1.0   | 16410 | 0.0460          | 0.8989    | 0.9000 | 0.8995 | 0.9841   |
| 0.0132        | 2.0   | 32820 | 0.0549          | 0.8963    | 0.9148 | 0.9054 | 0.9843   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0


### Citation 
### Bibtex
```
@software{Ali_Raza,
    author = {Raza, Ali},
    license = { BSD-2-Clause license},
    title = {{Named Entity Recognition using Multinerd}},
    url = {https://github.com/raza4729/NER}
}
```
{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "named-entity-recognition-multinerd", "results": []}]}
transformers safetensors bert token-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us