distilbert-base-uncased-finetuned-banking77

optimum/distilbert-base-uncased-finetuned-banking77

distilbert-base-uncased-finetuned-banking77 is a text classification model from optimum. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jun 6, 2022
Updated: Sep 12, 2023
SHA: 89565753

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Base models

Datasets

banking77

Model card

From the Hugging Face model README

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

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 6, 2022
Updated: Sep 12, 2023