---
license: apache-2.0
base_model: google/muril-base-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: punjabi-muril-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-muril-ner

This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0831
- Precision: 0.7350
- Recall: 0.7591
- F1: 0.7469
- Accuracy: 0.9843

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.3465        | 1.0   | 1613 | 0.2747          | 0.0       | 0.0    | 0.0    | 0.9551   |
| 0.1642        | 2.0   | 3226 | 0.1273          | 0.6436    | 0.5216 | 0.5762 | 0.9758   |
| 0.1053        | 3.0   | 4839 | 0.0986          | 0.7257    | 0.7156 | 0.7206 | 0.9824   |
| 0.0863        | 4.0   | 6452 | 0.0854          | 0.7166    | 0.7620 | 0.7386 | 0.9837   |
| 0.0705        | 5.0   | 8065 | 0.0831          | 0.7350    | 0.7591 | 0.7469 | 0.9843   |


### Framework versions

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