README.md

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: 0.9360461829994651

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: 0.3261
• F1: 0.9360

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: 4
• eval_batch_size: 2
• 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
0.5369	1.0	2501	0.4475	0.8808
0.2189	2.0	5002	0.3341	0.9290
0.1552	3.0	7503	0.3261	0.9360

Framework versions

• Transformers 4.27.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.11.0