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bert-base-multilingual-cased-0_4-finetuned-squad – AI Model by alikanakar | AlphaNeural AI
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alikanakar
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bert-base-multilingual-cased-0_4-finetuned-squad
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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-0_4-finetuned-squad
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: 0.5599
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
1.4297
1.0
4306
1.0020
1.0995
2.0
8612
0.6761
0.8166
3.0
12918
0.5599
Framework versions
Transformers 4.26.0
Pytorch 2.0.0+cu118
Datasets 2.9.0
Tokenizers 0.13.3
