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# bert-finetuned-ner

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the conll2003 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0613
- Precision: 0.9349
- Recall: 0.9524
- F1: 0.9436
- Accuracy: 0.9865

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.075         | 1.0   | 1756 | 0.0695          | 0.9034    | 0.9334 | 0.9181 | 0.9809   |
| 0.0345        | 2.0   | 3512 | 0.0590          | 0.9371    | 0.9504 | 0.9437 | 0.9868   |
| 0.0236        | 3.0   | 5268 | 0.0613          | 0.9349    | 0.9524 | 0.9436 | 0.9865   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["conll2003"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "conll2003", "type": "conll2003", "config": "conll2003", "split": "validation", "args": "conll2003"}, "metrics": [{"type": "precision", "value": 0.9349083099289609, "name": "Precision"}, {"type": "recall", "value": 0.9523729384045776, "name": "Recall"}, {"type": "f1", "value": 0.943559816590246, "name": "F1"}, {"type": "accuracy", "value": 0.9865338199799847, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors bert token-classification generated_from_trainer dataset:conll2003 base_model:bert-base-cased license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us