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xlm-roberta-base-squad2-idkmrc – AI Model by intanm | AlphaNeural AI
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intanm
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xlm-roberta-base-squad2-idkmrc
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transformers
pytorch
xlm-roberta
question-answering
generated_from_trainer
deepset/xlm-roberta-base-squad2
finetune
cc-by-4.0
endpoints_compatible
us
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xlm-roberta-base-squad2-idkmrc
This model is a fine-tuned version of
deepset/xlm-roberta-base-squad2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8167
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: 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
0.9504
1.0
584
0.7669
0.6471
2.0
1168
0.8292
0.4856
3.0
1752
0.8167
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
