bert_mini_cosmetic

This model is a fine-tuned version of prajjwal1/bert-mini on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3512
• Accuracy: 0.9083

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	120	0.7387	0.8848
No log	2.0	240	0.4699	0.9047
No log	3.0	360	0.3882	0.9041
No log	4.0	480	0.3598	0.9078
0.6339	5.0	600	0.3512	0.9083

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3