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LMR_finetuned_bert_model_CM – AI Model by siddharth2050 | AlphaNeural AI
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siddharth2050
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LMR_finetuned_bert_model_CM
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transformers
tf
bert
text-generation
generated_from_keras_callback
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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siddharth2050/LMR_finetuned_bert_model_CM
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: 1.4118
Validation Loss: 1.3949
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': 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
1.5172
1.4620
0
1.4588
1.4253
1
1.4118
1.3949
2
Framework versions
Transformers 4.45.1
TensorFlow 2.16.1
Datasets 3.0.0
Tokenizers 0.20.0
