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namematch_classifier
waynedsouza/namematch_classifier
namematch_classifier is a machine learning model from waynedsouza. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Apr 7, 2023
- Updated
- Apr 7, 2023
- SHA
- e9a9ed92
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Library
- transformers
- Type
- bert
- Created
- Apr 7, 2023
- Updated
- Apr 7, 2023