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xlm-roberta-baseline-fiqhqa-ML-512 – AI Model by mhdafifan | AlphaNeural AI
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xlm-roberta-baseline-fiqhqa-ML-512
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transformers
safetensors
xlm-roberta
question-answering
indonesian
fiqhqa
generated_from_trainer
id
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
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xlm-roberta-baseline-fiqhqa-ML-512
This model is a fine-tuned version of
FacebookAI/xlm-roberta-base
on the FiqhQA dataset. It achieves the following results on the evaluation set:
Loss: 1.4807
F1: 55.24
Exact Match: 29.13
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: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Exact Match
2.9705
1.0
141
1.8919
33.3
10.68
1.7452
2.0
282
1.5607
45.59
19.42
1.4076
3.0
423
1.4004
54.12
30.1
1.2274
4.0
564
1.4396
54.89
29.13
1.0354
5.0
705
1.4807
55.24
29.13
Framework versions
Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1
