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# ms-ner

This model is a fine-tuned version of [dbmdz/bert-large-cased-finetuned-conll03-english](https://huggingface.co/dbmdz/bert-large-cased-finetuned-conll03-english) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1711
- Precision: 0.6084
- Recall: 0.6753
- F1: 0.6401
- Accuracy: 0.9634

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1316        | 1.0   | 732  | 0.1271          | 0.5745    | 0.6377 | 0.6044 | 0.9597   |
| 0.0903        | 2.0   | 1464 | 0.1229          | 0.5909    | 0.6487 | 0.6184 | 0.9610   |
| 0.0771        | 3.0   | 2196 | 0.1235          | 0.6025    | 0.6609 | 0.6303 | 0.9627   |
| 0.0661        | 4.0   | 2928 | 0.1282          | 0.6023    | 0.6652 | 0.6322 | 0.9632   |
| 0.0489        | 5.0   | 3660 | 0.1408          | 0.6041    | 0.6753 | 0.6377 | 0.9627   |
| 0.0423        | 6.0   | 4392 | 0.1465          | 0.6066    | 0.6723 | 0.6378 | 0.9634   |
| 0.0341        | 7.0   | 5124 | 0.1551          | 0.6038    | 0.6708 | 0.6355 | 0.9631   |
| 0.0298        | 8.0   | 5856 | 0.1608          | 0.6092    | 0.6752 | 0.6405 | 0.9637   |
| 0.0253        | 9.0   | 6588 | 0.1675          | 0.6095    | 0.6735 | 0.6399 | 0.9635   |
| 0.0233        | 10.0  | 7320 | 0.1711          | 0.6084    | 0.6753 | 0.6401 | 0.9634   |


### Framework versions

- Transformers 4.35.1
- Pytorch 1.12.0
- Datasets 2.14.6
- Tokenizers 0.14.1

{"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "dbmdz/bert-large-cased-finetuned-conll03-english", "model-index": [{"name": "ms-ner", "results": []}]}
transformers tensorboard safetensors bert token-classification generated_from_trainer base_model:dbmdz/bert-large-cased-finetuned-conll03-english autotrain_compatible endpoints_compatible region:us