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bert-base-cased-finetuned – AI Model by badokorach | AlphaNeural AI
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badokorach
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bert-base-cased-finetuned
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
endpoints_compatible
us
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bert-base-cased-finetuned
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3217
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
No log
1.0
66
2.6893
No log
2.0
132
2.4447
No log
3.0
198
2.3882
No log
4.0
264
2.3255
No log
5.0
330
2.3217
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.2
Tokenizers 0.13.3
