metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - banking77
metrics:
  - f1
model-index:
  - name: bert-base-banking77-pt2
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: banking77
          type: banking77
          config: default
          split: test
          args: default
        metrics:
          - name: F1
            type: f1
            value: 0.9320386087983313

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:

Loss: 0.2716
F1: 0.9320

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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
1.2659	1.0	626	0.8686	0.8289
0.4119	2.0	1252	0.3670	0.9209
0.1904	3.0	1878	0.2885	0.9308
0.0963	4.0	2504	0.2716	0.9320

Framework versions

Transformers 4.27.1
Pytorch 2.1.0+cu121
Datasets 2.9.0
Tokenizers 0.13.3