Jingya's picture
Jingya HF staff
Librarian Bot: Add base_model information to model (#5)
c4ffc80
---
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