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bert-base-cased-finetuned-wikitext2 – AI Model by Azaliya-Vagizova | AlphaNeural AI
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Azaliya-Vagizova
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bert-base-cased-finetuned-wikitext2
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transformers
tf
tensorboard
bert
fill-mask
generated_from_keras_callback
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Azaliya-Vagizova/bert-base-cased-finetuned-wikitext2
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 6.9600
Validation Loss: 6.8787
Epoch: 1
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:
optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
7.4268
7.0439
0
6.9600
6.8787
1
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.0
Tokenizers 0.15.0
