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xlm-roberta-base-finetuned-PersianQuAD_Factoid_Test-ignoreTestSplit – AI Model by Z-Jafari | AlphaNeural AI
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Z-Jafari
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xlm-roberta-base-finetuned-PersianQuAD_Factoid_Test-ignoreTestSplit
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transformers
safetensors
xlm-roberta
question-answering
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
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xlm-roberta-base-finetuned-PersianQuAD_Factoid_Test-ignoreTestSplit
This model is a fine-tuned version of
FacebookAI/xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7492
{'exact_match': 68.16277678037103, 'f1': 81.69535943313228}
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: 3
mixed_precision_training: Native AMP
fp16 = True
Training results
Training Loss
Epoch
Step
Validation Loss
1.1313
1.0
1217
0.8704
0.7957
2.0
2434
0.7896
0.5800
3.0
3651
0.7492
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
