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poebert-clean-checkpoint-finetuned-poetry-foundation-clean – AI Model by edgertej | AlphaNeural AI
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edgertej
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poebert-clean-checkpoint-finetuned-poetry-foundation-clean
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transformers
tf
bert
fill-mask
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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edgertej/poebert-clean-checkpoint-finetuned-poetry-foundation-clean
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: 3.8658
Validation Loss: 3.6186
Epoch: 2
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': 'Adam', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
4.0379
3.6686
0
3.9346
3.6478
1
3.8658
3.6186
2
Framework versions
Transformers 4.19.2
TensorFlow 2.9.1
Datasets 2.4.0
Tokenizers 0.12.1
