pytorch tensorboard bert token-classification transformers generated_from_trainer license:apache-2.0 model-index autotrain_compatible
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: NER-for-female-names
  results: []
---

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# NER-for-female-names

This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2606

## 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: 7.961395091713594e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 27
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 5    | 0.6371          |
| No log        | 2.0   | 10   | 0.4213          |
| No log        | 3.0   | 15   | 0.3227          |
| No log        | 4.0   | 20   | 0.2867          |
| No log        | 5.0   | 25   | 0.2606          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Tokenizers 0.12.1
