---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ner_bert_urdu
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ner_bert_urdu

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0104

## 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: 64
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0035        | 1.0   | 1314  | 0.0083          |
| 0.0032        | 2.0   | 2628  | 0.0084          |
| 0.0031        | 3.0   | 3942  | 0.0063          |
| 0.0036        | 4.0   | 5256  | 0.0070          |
| 0.0034        | 5.0   | 6570  | 0.0077          |
| 0.0033        | 6.0   | 7884  | 0.0086          |
| 0.0029        | 7.0   | 9198  | 0.0085          |
| 0.0028        | 8.0   | 10512 | 0.0101          |
| 0.0027        | 9.0   | 11826 | 0.0098          |
| 0.0024        | 10.0  | 13140 | 0.0104          |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3