bert-base-banking77-pt2

This model is a fine-tuned version of bert-base-uncased on the banking77 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3333
• F1: 0.9318

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.1101	1.0	626	0.3595	0.9181
0.0658	2.0	1252	0.3570	0.9269
0.0308	3.0	1878	0.3333	0.9318

Framework versions

• Transformers 4.27.1
• Pytorch 2.0.0+cu117
• Datasets 2.9.0
• Tokenizers 0.13.2