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: 0.8321
• F1: 0.8725

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: 64
• eval_batch_size: 32
• 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
No log	1.0	157	2.0624	0.6571
2.9518	2.0	314	1.0593	0.8374
1.1419	3.0	471	0.8321	0.8725

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.1+cu118
• Datasets 2.20.0
• Tokenizers 0.15.2