pytorch tensorboard bert token-classification transformers generated_from_trainer license:mit model-index autotrain_compatible
---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-romanian-ner-finetuned-ner
  results: []
---

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# bert-base-romanian-ner-finetuned-ner

This model is a fine-tuned version of [dumitrescustefan/bert-base-romanian-ner](https://huggingface.co/dumitrescustefan/bert-base-romanian-ner) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0539
- Precision: 0.9662
- Recall: 0.9758
- F1: 0.9710
- Accuracy: 0.9861

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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0538        | 1.0   | 5500 | 0.0539          | 0.9662    | 0.9758 | 0.9710 | 0.9861   |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
