mdeberta-qasina-LR-2e-05-BS-8-ML-384 – AI Model by mhdafifan | AlphaNeural AI

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mdeberta-qasina-LR-2e-05-BS-8-ML-384

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mdeberta-qasina-LR-2e-05-BS-8-ML-384

This model is a fine-tuned version of microsoft/mdeberta-v3-base on the QASiNa dataset. It achieves the following results on the evaluation set:

Loss: 1.8720
F1: 63.2535
Exact Match: 50.0

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 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
lr_scheduler_warmup_ratio: 0.2
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Exact Match
No log	1.0	91	4.2559	5.0651	1.8868
No log	2.0	182	1.9609	49.3716	33.0189
No log	3.0	273	1.6572	55.6258	40.566
No log	4.0	364	1.6275	59.9606	44.3396
No log	5.0	455	1.8850	63.866	52.8302
2.1228	6.0	546	1.8798	62.235	50.0
2.1228	7.0	637	1.8720	63.2535	50.0

Framework versions

Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1