questions – AI Model by Monda | AlphaNeural AI

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Monda/
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text-classification

generated_from_trainer

UBC-NLP/MARBERT

autotrain_compatible

endpoints_compatible

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questions

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

Loss: 0.3756
Micro F1: 0.6542
Weighted F1: 0.5875
Jaccard: 0.5726

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: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Micro F1	Weighted F1	Jaccard
0.5395	1.0	18	0.4255	0.6375	0.5254	0.5017
0.4424	2.0	36	0.3918	0.6607	0.5539	0.5743
0.4146	3.0	54	0.3756	0.6542	0.5875	0.5726
0.3844	4.0	72	0.3776	0.6197	0.5665	0.5298
0.3647	5.0	90	0.3738	0.6161	0.5609	0.5286

Framework versions

Transformers 4.53.3
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2