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