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XLM-RoBERTa-IndoSQuADv2_1694026058-8-2e-05-0.01-3 – AI Model by rizquuula | AlphaNeural AI
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rizquuula
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XLM-RoBERTa-IndoSQuADv2_1694026058-8-2e-05-0.01-3
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transformers
pytorch
xlm-roberta
question-answering
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
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XLM-RoBERTa-IndoSQuADv2_1694026058-8-2e-05-0.01-3
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.8153
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.8183
1.0
16290
1.7666
1.3623
2.0
32580
1.7385
1.1063
3.0
48870
1.8153
Framework versions
Transformers 4.32.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
