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bert-base-cased-wikitext2 – AI Model by ncduy | AlphaNeural AI
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bert-base-cased-wikitext2
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
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bert-base-cased-wikitext2
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: 6.8565
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
7.0916
1.0
2346
7.0492
6.9074
2.0
4692
6.8727
6.8588
3.0
7038
6.8914
Framework versions
Transformers 4.9.1
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3
