bert-base-banking77-pt2

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

• Loss: 0.2182
• F1: 0.9167

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
0.2294	1.0	1563	0.2206	0.9148
0.1306	2.0	3126	0.2202	0.9156
0.0256	3.0	4689	0.2182	0.9167

Framework versions

• Transformers 4.27.1
• Pytorch 2.0.1+cu117
• Datasets 2.9.0
• Tokenizers 0.13.3