nepali_complaints_classification_muril

nadika/nepali_complaints_classification_muril

nepali_complaints_classification_muril is a text classification model from nadika. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

4% of all-time downloads

All-time downloads

279

Public

Parameters

238M

950 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors950 MB · 99%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Mar 9, 2024
Updated: Mar 9, 2024
SHA: f9529be8

Try a prompt

Base models

google/muril-base-cased

Model card

From the Hugging Face model README

nepali_complaints_classification_muril

This model is a fine-tuned version of google/muril-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2424

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.916	1.0	2244	0.7103
0.2725	2.0	4488	0.3206
0.1678	3.0	6732	0.2685
0.204	4.0	8976	0.2424

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 9, 2024
Updated: Mar 9, 2024