metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - banking77
metrics:
  - accuracy
  - f1
widget:
  - text: Could you assist me in finding my lost card?
    example_title: Example 1
  - text: I found my lost card. Am I still able to use it?
    example_title: Example 2
  - text: >-
      Hey, I thought my topup was all done but now the money is gone again –
      what’s up with that?
    example_title: Example 3
  - text: Tell me why my topup wouldn’t go through?
    example_title: Example 4
model-index:
  - name: distilbert-base-uncased-finetuned-banking77
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: banking77
          type: banking77
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.925
          - name: F1
            type: f1
            value: 0.925018570680639
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: banking77
          type: banking77
          config: default
          split: test
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.925
            verified: true
          - name: Precision Macro
            type: precision
            value: 0.9282769473964405
            verified: true
          - name: Precision Micro
            type: precision
            value: 0.925
            verified: true
          - name: Precision Weighted
            type: precision
            value: 0.9282769473964405
            verified: true
          - name: Recall Macro
            type: recall
            value: 0.9250000000000002
            verified: true
          - name: Recall Micro
            type: recall
            value: 0.925
            verified: true
          - name: Recall Weighted
            type: recall
            value: 0.925
            verified: true
          - name: F1 Macro
            type: f1
            value: 0.9250185706806391
            verified: true
          - name: F1 Micro
            type: f1
            value: 0.925
            verified: true
          - name: F1 Weighted
            type: f1
            value: 0.925018570680639
            verified: true
          - name: loss
            type: loss
            value: 0.2934279143810272
            verified: true

distilbert-base-uncased-finetuned-banking77

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

Loss: 0.2935
Accuracy: 0.925
F1: 0.9250

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: 9.686210354742596e-05
train_batch_size: 64
eval_batch_size: 32
seed: 40
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	126	1.1457	0.7896	0.7685
No log	2.0	252	0.4673	0.8906	0.8889
No log	3.0	378	0.3488	0.9150	0.9151
0.9787	4.0	504	0.3238	0.9180	0.9179
0.9787	5.0	630	0.3126	0.9225	0.9226

Framework versions

Transformers 4.17.0
Pytorch 1.11.0
Datasets 2.0.0
Tokenizers 0.11.6