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# bert-base-multilingual-cased-ner-silvanus

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the id_nergrit_corpus dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0621
- Precision: 0.9069
- Recall: 0.9202
- F1: 0.9135
- Accuracy: 0.9852

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1336        | 1.0   | 827  | 0.0551          | 0.9034    | 0.9130 | 0.9082 | 0.9844   |
| 0.0461        | 2.0   | 1654 | 0.0604          | 0.9098    | 0.9134 | 0.9116 | 0.9842   |
| 0.0299        | 3.0   | 2481 | 0.0621          | 0.9069    | 0.9202 | 0.9135 | 0.9852   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["id_nergrit_corpus"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-multilingual-cased", "model-index": [{"name": "bert-base-multilingual-cased-ner-silvanus", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "id_nergrit_corpus", "type": "id_nergrit_corpus", "config": "ner", "split": "validation", "args": "ner"}, "metrics": [{"type": "precision", "value": 0.9068952084144917, "name": "Precision"}, {"type": "recall", "value": 0.9201581027667984, "name": "Recall"}, {"type": "f1", "value": 0.9134785167745734, "name": "F1"}, {"type": "accuracy", "value": 0.9851764523984384, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors bert token-classification generated_from_trainer dataset:id_nergrit_corpus base_model:bert-base-multilingual-cased license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us