nepali_complaints_classification_nepbert3

nadika/nepali_complaints_classification_nepbert3

nepali_complaints_classification_nepbert3 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.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Mar 11, 2024
Updated: Mar 11, 2024
SHA: ca17a165

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Base models

Rajan/NepaliBERT

Model card

From the Hugging Face model README

nepali_complaints_classification_nepbert3

This model is a fine-tuned version of Rajan/NepaliBERT on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2687
Accuracy: 0.9494
F1-score: 0.9483

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: 50
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1-score
1.4921	0.22	500	0.8642	0.7235	0.7143
0.7781	0.45	1000	0.6241	0.7974	0.7923
0.5865	0.67	1500	0.5342	0.8243	0.8125
0.4625	0.89	2000	0.4250	0.8576	0.8553
0.3648	1.11	2500	0.3856	0.8759	0.8725
0.3001	1.34	3000	0.3424	0.8899	0.8891
0.2723	1.56	3500	0.3199	0.9007	0.8981
0.2538	1.78	4000	0.2898	0.9085	0.9066
0.231	2.01	4500	0.2676	0.9203	0.9189
0.1478	2.23	5000	0.3029	0.9210	0.9187
0.1666	2.45	5500	0.2580	0.9283	0.9271
0.1519	2.67	6000	0.2573	0.9308	0.9292
0.1498	2.9	6500	0.2746	0.9328	0.9306
0.1112	3.12	7000	0.2564	0.9398	0.9389
0.0903	3.34	7500	0.2726	0.9403	0.9393
0.1036	3.57	8000	0.2664	0.9398	0.9385
0.1043	3.79	8500	0.2614	0.9459	0.9447
0.0972	4.01	9000	0.2499	0.9453	0.9443
0.0663	4.23	9500	0.2643	0.9469	0.9458
0.0683	4.46	10000	0.2688	0.9474	0.9462
0.0671	4.68	10500	0.2657	0.9491	0.9481
0.0605	4.9	11000	0.2687	0.9494	0.9483

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
Created: Mar 11, 2024
Updated: Mar 11, 2024