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bert-base-multilingual-cased1 – AI Model by AnshulRustogi | AlphaNeural AI
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bert-base-multilingual-cased1
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
squad_v2
apache-2.0
endpoints_compatible
us
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bert-base-multilingual-cased1
This model is a fine-tuned version of
bert-base-multilingual-cased
on the squad_v2 dataset. It achieves the following results on the evaluation set:
Loss: 1.3467
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.1335
1.0
1547
1.0084
0.7574
2.0
3094
0.9890
0.5211
3.0
4641
1.0139
0.335
4.0
6188
1.1702
0.2465
5.0
7735
1.3467
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3