mdeberta-fiqhqa-classifier – AI Model by mhdafifan | AlphaNeural AI

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mhdafifan/
mdeberta-fiqhqa-classifier

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text-classification

generated_from_trainer

microsoft/mdeberta-v3-base

text-embeddings-inference

endpoints_compatible

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mdeberta-fiqhqa-classifier

This model is a fine-tuned version of microsoft/mdeberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5483
Accuracy: 0.8435
F1 Macro: 0.7795

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
1.536	1.0	57	1.5099	0.4609	0.1052
1.5084	2.0	114	1.2667	0.5478	0.2103
1.1274	3.0	171	0.8767	0.7043	0.4012
0.8127	4.0	228	0.6585	0.8348	0.7690
0.4821	5.0	285	0.4825	0.8522	0.7798
0.3559	6.0	342	0.5199	0.8348	0.7681
0.2817	7.0	399	0.5483	0.8435	0.7795

Framework versions

Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1