finetuned-bert-1k

This model is a fine-tuned version of bert-base-cased on an publically available ham and spam email dataset. It achieves the following results on the training set:

• Loss: 0.0192
• Accuracy: 0.9970

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3058	1.0	63	0.0904	0.9782
0.0876	2.0	126	0.0659	0.9841
0.031	3.0	189	0.0192	0.9970

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3