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: 0.3108
• F1: 0.9252

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
1.0761	1.0	626	0.7864	0.8516
0.3713	2.0	1252	0.3719	0.9155
0.1726	3.0	1878	0.3108	0.9252

Framework versions

• Transformers 4.38.2
• Pytorch 2.3.0.dev20240311
• Datasets 2.18.0
• Tokenizers 0.15.2