xlm-roberta-qasina-LR-2e-05-BS-16-ML-384 – AI Model by mhdafifan | AlphaNeural AI

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xlm-roberta-qasina-LR-2e-05-BS-16-ML-384

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xlm-roberta-qasina-LR-2e-05-BS-16-ML-384

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the QASiNa dataset. It achieves the following results on the evaluation set:

Loss: 2.3332
F1: 46.5444
Exact Match: 34.9057

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
lr_scheduler_warmup_ratio: 0.2
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Exact Match
No log	1.0	39	5.2813	8.7184	2.8302
No log	2.0	78	3.9660	10.0548	6.6038
No log	3.0	117	3.5542	15.3718	10.3774
No log	4.0	156	2.5023	39.5129	28.3019
No log	5.0	195	2.3907	41.7823	30.1887
No log	6.0	234	2.4227	47.9752	36.7925
No log	7.0	273	2.3332	46.5444	34.9057

Framework versions

Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1