angrotanak-khmer-intent-classifier

angrotanak/angrotanak-khmer-intent-classifier

angrotanak-khmer-intent-classifier is a text classification model from angrotanak. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: May 21, 2025
Updated: May 24, 2025
SHA: 1026fa4e

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Base models

Model card

From the Hugging Face model README

angrotanak-khmer-intent-classifier

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3511
Accuracy: 0.9333
F1: 0.9339
Precision: 0.9417
Recall: 0.9333

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
2.0705	1.0	15	2.0505	0.2	0.1179	0.0984	0.2
1.9508	2.0	30	2.0051	0.1667	0.0476	0.0278	0.1667
1.8727	3.0	45	1.8381	0.2	0.0990	0.1287	0.2
1.7077	4.0	60	1.5842	0.3667	0.2852	0.3446	0.3667
1.5137	5.0	75	1.3019	0.5667	0.5114	0.5722	0.5667
1.33	6.0	90	1.1958	0.6333	0.5721	0.6734	0.6333
1.1648	7.0	105	0.9677	0.8667	0.8563	0.8718	0.8667
0.9707	8.0	120	0.8538	0.8	0.7853	0.8389	0.8
0.841	9.0	135	0.7069	0.8	0.7888	0.8290	0.8
0.736	10.0	150	0.5623	0.9	0.8872	0.8861	0.9
0.6398	11.0	165	0.4984	0.9	0.8967	0.9194	0.9
0.5907	12.0	180	0.3862	0.9333	0.9341	0.9472	0.9333
0.4658	13.0	195	0.3766	0.9333	0.9339	0.9417	0.9333
0.4504	14.0	210	0.3618	0.9333	0.9339	0.9417	0.9333
0.5012	15.0	225	0.3511	0.9333	0.9339	0.9417	0.9333

Framework versions

Transformers 4.52.3
Pytorch 2.7.0+cpu
Datasets 3.6.0
Tokenizers 0.21.1

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: May 21, 2025
Updated: May 24, 2025