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# namematch_classifier

This model is a fine-tuned version of [](https://huggingface.co/) 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

{"tags": ["generated_from_trainer"], "model-index": [{"name": "namematch_classifier", "results": []}]}
transformers pytorch tensorboard bert generated_from_trainer endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #generated_from_trainer #endpoints_compatible #region-us 




# namematch_classifier

This model is a fine-tuned version of [](URL 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

# namematch_classifier

This model is a fine-tuned version of [](URL 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
TAGS
#transformers #pytorch #tensorboard #bert #generated_from_trainer #endpoints_compatible #region-us 
 # namematch_classifier

This model is a fine-tuned version of [](URL 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
TAGS
#transformers #pytorch #tensorboard #bert #generated_from_trainer #endpoints_compatible #region-us 
# namematch_classifier

This model is a fine-tuned version of [](URL 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