bert-base-banking77-pt2

This model is a fine-tuned version of bert-base-uncased on the banking77 dataset. It achieves the following results on the evaluation set:

• eval_loss: 4.3984
• eval_f1: 0.0003
• eval_runtime: 300.4394
• eval_samples_per_second: 10.252
• eval_steps_per_second: 0.642
• epoch: 1.0
• step: 626

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Framework versions

• Transformers 4.33.3
• Pytorch 2.1.0
• Datasets 2.12.0
• Tokenizers 0.13.2