---
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: punjabi-distilbert-ner
  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. -->

# punjabi-distilbert-ner

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an [punjabi-ner](https://huggingface.co/datasets/mirfan899/punjabi-ner) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0787
- Precision: 0.7618
- Recall: 0.7452
- F1: 0.7534
- Accuracy: 0.9777

## 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: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0743        | 1.0   | 807  | 0.0794          | 0.6756    | 0.7653 | 0.7176 | 0.9731   |
| 0.0463        | 2.0   | 1614 | 0.0752          | 0.7545    | 0.7437 | 0.7491 | 0.9772   |
| 0.0371        | 3.0   | 2421 | 0.0787          | 0.7618    | 0.7452 | 0.7534 | 0.9777   |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3