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bert-base-multilingual-cased-A-B – AI Model by alikanakar | AlphaNeural AI
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alikanakar
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bert-base-multilingual-cased-A-B
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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bert-base-multilingual-cased-A-B
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: 1.0207
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
1.5787
1.0
2508
1.2452
1.1682
2.0
5016
1.0159
0.9022
3.0
7524
1.0207
Framework versions
Transformers 4.26.0
Pytorch 2.2.1+cu121
Datasets 2.9.0
Tokenizers 0.13.3
