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bert-base-uncased-finetuned-wikitext2 – AI Model by jamiegrech | AlphaNeural AI
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jamiegrech
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bert-base-uncased-finetuned-wikitext2
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transformers
tensorboard
safetensors
bert
text-generation
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-finetuned-wikitext2
This model is a fine-tuned version of
google-bert/bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0022
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
1.1804
1.0
578
0.0087
0.0299
2.0
1156
0.0028
0.0153
3.0
1734
0.0022
Framework versions
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
