---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: sindhi-bert-ner
  results: []
datasets:
- mirfan899/sindhi-ner
language:
- sd
---

<!-- 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. -->

# sindhi-bert-ner

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: 0.1513
- Precision: 0.7080
- Recall: 0.6443
- F1: 0.6746
- Accuracy: 0.9704

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1578        | 1.0   | 2252  | 0.1457          | 0.7162    | 0.5285 | 0.6082 | 0.9640   |
| 0.1162        | 2.0   | 4504  | 0.1280          | 0.7296    | 0.5718 | 0.6411 | 0.9676   |
| 0.097         | 3.0   | 6756  | 0.1248          | 0.7040    | 0.6065 | 0.6516 | 0.9678   |
| 0.0803        | 4.0   | 9008  | 0.1265          | 0.7442    | 0.6078 | 0.6691 | 0.9707   |
| 0.0719        | 5.0   | 11260 | 0.1274          | 0.7459    | 0.6181 | 0.6760 | 0.9707   |
| 0.056         | 6.0   | 13512 | 0.1333          | 0.7083    | 0.6383 | 0.6715 | 0.9704   |
| 0.0507        | 7.0   | 15764 | 0.1339          | 0.7157    | 0.6378 | 0.6745 | 0.9709   |
| 0.0441        | 8.0   | 18016 | 0.1445          | 0.7308    | 0.6284 | 0.6758 | 0.9710   |
| 0.0377        | 9.0   | 20268 | 0.1487          | 0.7253    | 0.6307 | 0.6747 | 0.9705   |
| 0.0344        | 10.0  | 22520 | 0.1513          | 0.7080    | 0.6443 | 0.6746 | 0.9704   |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3