README.md

---
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
base_model: distilbert-base-uncased
model-index:
- name: distilbert-base-uncased-finetuned-banking77
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: banking77
      type: banking77
      args: default
    metrics:
    - type: accuracy
      value: 0.925
      name: Accuracy
    - type: f1
      value: 0.925018570680639
      name: F1
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: banking77
      type: banking77
      config: default
      split: test
    metrics:
    - type: accuracy
      value: 0.925
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDllOGYzMjM1MDlmMzc1MjFhNDAxZGRkOTI2Y2M3MTExNWViZjIxMWMyMzcyMzE2YzA2M2U1ODBmMDk4ZTc3ZiIsInZlcnNpb24iOjF9.m4W8jIWPuO_PgIo9V1K3I3DhHQ4ZbV1CDK3NOUhQS4xgrFE7DzFkPoku9tIhID4HfVwh9CdlTFBV5DNk-YoCCw
    - type: precision
      value: 0.9282769473964405
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTNjNDEzMTY4ZjYyZDZmNmZhNDgxYzZhMmU2NDk1OTQ2ODQ3MDllZWU3ZjY4ZGJkNGQ0MTcxZDAxMjBiNzdmMSIsInZlcnNpb24iOjF9.yH8l0iirnQlO4VAlXR1mUxSJ68N_ro8f4v_56tMidva8dixFPPpQ4_zWQ9br6iBVH-pMHFrPL2vSsRldxRjyAw
    - type: precision
      value: 0.925
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzYwOTExZDI0ZGVhM2E5NzA0YTFhYjQ3NThlZWQ3ZTg2YTVjYjZhMzU1MDI3ZjkyY2NiNDBlYTAzYzYwYjdmMyIsInZlcnNpb24iOjF9.Qj0ni7-zG991npWW9NTutH1qUkLLZnJ13TxWZynxfef4VBKpaC9Ar-4Z8NSgrlNvghndvVHvvYQ47zoUnKYfCg
    - type: precision
      value: 0.9282769473964405
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWU4NmZlYmYyMTI5OTIwMjAwNDk4OTQ3NGYzYzk0MzgyYmFiZTUyMzEzOGVjMTA2MzJhZGI1NzdjOWU5N2I5ZiIsInZlcnNpb24iOjF9.YTmQFFjzy2387Puvwnj_BtYLNXtEykUlHSvl027TfnpYyjCmsixU3r5yZjkI4ZUy6W5Xy5t9bluhZupmyGx5CA
    - type: recall
      value: 0.9250000000000002
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmQ2ZWFlN2NkN2IzMGE4NzBhMDI2MTk3OGYxMmMxNDNmMzhiMmU3NTAzYmFiNTMyMDg0OTczZGYyNTE2NDc5MiIsInZlcnNpb24iOjF9.lJbWAB8po1DgJO-Or_C-b7F5jp_IMMPhxcUqyJEbT5Au94s6EgIlFHzN7eK9tCC2c-AvCcs-hpItnQjUqqE1AQ
    - type: recall
      value: 0.925
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2Y0ZGVlN2M0YjQ5NzcxMTJkNmVhNjc3ZjI1OTQyOTQ2MmExNDFhODVjM2VmMGM0NGNlY2U1ZDYwMjU0MmZjZCIsInZlcnNpb24iOjF9.Gqm7KCYZpm97nE4J-YazB3cWIVwCmRWrRoAY6Yrc3YP4GqVpSr6isfH53CtZ6ka5byohMeFb8_XbIYW3xRUCCA
    - type: recall
      value: 0.925
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGExMGRjNTU5ZGRiMThkMTAzZjA0ODkzZDJiNzMxMTZjYmJkNjJkZjk0YzY4MTA4MjFmNjk0Y2IzNjkxZTJiMyIsInZlcnNpb24iOjF9.GaYizK6iJY3zcgrkMEAOrTanjjYTPOEO8hOoe66lBQ7J5DIIFQBDhY89qOYFjuZnypgT7_s7B499Lx_XJiMNCg
    - type: f1
      value: 0.9250185706806391
      name: F1 Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzc1NGIxYmRkZTY1MGM0NTQzNTU0ZjEwMDdjNjIxYmYxYTViZWY0MGNkMWMyZjBjYjNlMDNlY2UyNTg4ZmE4OCIsInZlcnNpb24iOjF9.06bcSulLP3e22fwjcvqEjr_5Pa1kzMSsKiw_qI07tfXqtigw7RGKW80RtfssaSHbfRmdmnGkqFI7UIO56q1UCQ
    - type: f1
      value: 0.925
      name: F1 Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTg2NmU2MzFmN2NmMDA5NDg3NzQ1ZWEyZGU2ZDdmZDU5ZTcxOTYwN2RkZWM0OTYyY2FlNGRmMzBmODYxZDMxMSIsInZlcnNpb24iOjF9.gLeGhILsq8eP65ORrWpeA_hNz0zuqBmI-r5g7HR-qZdDyMyEEZrBlFqSDGcSRdqCvjMS7zRXksHSa6Y8QzKPCA
    - type: f1
      value: 0.925018570680639
      name: F1 Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTMyNzVlZjgzZDZhOTUzZjZjYjg1OTU1NjcxMWQ1NDIxM2M2MzcwZmQ2YzkyNjc3ZjRlNjYwMTY0NDZmNDQxMCIsInZlcnNpb24iOjF9.rfqfrjWGp0_PC7MfUfl53YAwdN5FOZWzf5JF7wM9URSbhWHtWeh170xf9m1N3pCMseE5-66KndSyCZttt8C7Cg
    - type: loss
      value: 0.2934279143810272
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2UyY2U2MGM2YWFmNDA0MTUyMTg1MzdkZjRiNmI0NTVlMGJiNmViNDE1ZDc0YThlYjBhNWJlMTM0NzQ0NjkxYSIsInZlcnNpb24iOjF9.SuSSft3vlKA8Yx5vXP9bLRSaIa0D7pGtMHHYXgAS33baC82iTHyD8H41NQFk1b3B0dMHHLC458yH4gEhgBdzBA
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# distilbert-base-uncased-finetuned-banking77

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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