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xlmrlarge-idkmrc-2 – AI Model by intanm | AlphaNeural AI
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intanm
/
xlmrlarge-idkmrc-2
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transformers
pytorch
xlm-roberta
question-answering
generated_from_trainer
intanm/xlmrlarge-idkmrc
finetune
mit
endpoints_compatible
us
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xlmrlarge-idkmrc-2
This model is a fine-tuned version of
intanm/xlmrlarge-idkmrc
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5737
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.3687
1.0
1167
1.4416
0.1913
2.0
2334
1.5737
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
