Edit model card

bert-base-banking77-pt2_model_BertForSequenceClassification

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

  • Loss: 0.2937
  • F1: 0.9327

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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss F1
1.1254 1.0 626 0.8005 0.8480
0.3798 2.0 1252 0.3632 0.9218
0.1754 3.0 1878 0.2937 0.9327

Framework versions

  • Transformers 4.27.1
  • Pytorch 2.2.0.dev20231010+cu121
  • Datasets 2.9.0
  • Tokenizers 0.13.3
Downloads last month
4
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train psj0919/bert-base-banking77-pt2_model_BertForSequenceClassification

Evaluation results