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bert-base-multilingual-cased-finetuned-squadBN-512 – AI Model by AsifAbrar6 | AlphaNeural AI
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AsifAbrar6
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bert-base-multilingual-cased-finetuned-squadBN-512
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transformers
tensorboard
safetensors
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-finetuned-squadBN-512
This model is a fine-tuned version of
google-bert/bert-base-multilingual-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5848
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
2.1485
1.0
688
1.4901
1.4626
2.0
1376
1.5978
0.9818
3.0
2064
1.5848
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
