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namematch_classifier – AI Model by waynedsouza | AlphaNeural AI
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namematch_classifier
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transformers
pytorch
tensorboard
bert
generated_from_trainer
endpoints_compatible
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namematch_classifier
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.2583
eval_accuracy: 0.9022
eval_f1: 0.9015
eval_precision: 0.9831
eval_recall: 0.8198
eval_CM: [[5443, 79], [1009, 4589]]
eval_runtime: 73.3191
eval_samples_per_second: 151.666
eval_steps_per_second: 2.373
epoch: 6.66
step: 8800
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 100
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Tokenizers 0.13.3
