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bert-all-squad_que_translated – AI Model by krinal214 | AlphaNeural AI
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krinal214
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bert-all-squad_que_translated
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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bert-all-squad_que_translated
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: 0.5174
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.0746
1.0
18011
0.5174
Framework versions
Transformers 4.17.0
Pytorch 1.9.1
Datasets 2.1.0
Tokenizers 0.11.6
