bert-base-banking77-pt2_model_BertForSequenceClassification

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: 0.2937
• F1: 0.9327

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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
1.1254	1.0	626	0.8005	0.8480
0.3798	2.0	1252	0.3632	0.9218
0.1754	3.0	1878	0.2937	0.9327

Framework versions

• Transformers 4.27.1
• Pytorch 2.2.0.dev20231010+cu121
• Datasets 2.9.0
• Tokenizers 0.13.3