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bert_base_uncased_pronoun_coreference_mlm_1 – AI Model by auravstomar7 | AlphaNeural AI
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auravstomar7
/
bert_base_uncased_pronoun_coreference_mlm_1
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transformers
tf
bert
fill-mask
generated_from_keras_callback
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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auravstomar7/bert_base_uncased_pronoun_coreference_mlm_1
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:
Train Loss: 1.5991
Validation Loss: 1.4878
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': 'AdamWeightDecay', 'learning_rate': 3e-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
2.0521
1.7925
0
1.7481
1.6092
1
1.5991
1.4878
2
Framework versions
Transformers 4.40.2
TensorFlow 2.15.0
Datasets 2.19.1
Tokenizers 0.19.1
