bert-base-banking77-pt2

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

• Loss: 0.3020
• F1: 0.9320

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
1.12	1.0	626	0.8134	0.8489
0.3856	2.0	1252	0.3813	0.9181
0.1859	3.0	1878	0.3020	0.9320

Framework versions

• Transformers 4.35.2
• Pytorch 2.2.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0