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bert-base-multilingual-cased-idkmrc – AI Model by intanm | AlphaNeural AI
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intanm
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bert-base-multilingual-cased-idkmrc
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transformers
pytorch
bert
question-answering
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
endpoints_compatible
us
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bert-base-multilingual-cased-idkmrc
This model is a fine-tuned version of
bert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9374
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
1.4806
1.0
584
0.9536
0.7576
2.0
1168
0.8814
0.5407
3.0
1752
0.9374
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
