finetuned-customer-sentiment-distilroberta

MKB44/finetuned-customer-sentiment-distilroberta

finetuned-customer-sentiment-distilroberta is a text classification model from MKB44. 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: roberta
Access: Public
Created: Jul 7, 2024
Updated: Jul 7, 2024
SHA: 60f90c11

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Base models

distilbert/distilroberta-base

Model card

From the Hugging Face model README

finetuned-customer-sentiment-distilroberta

This model is a fine-tuned version of distilbert/distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6155
Accuracy: 0.7634
F1: 0.7623

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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
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	391	0.6049	0.7454	0.7455
No log	2.0	782	0.5998	0.7502	0.7474
No log	3.0	1173	0.5930	0.7643	0.7638
No log	4.0	1564	0.5861	0.7614	0.7614
No log	5.0	1955	0.6155	0.7634	0.7623

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Jul 7, 2024
Updated: Jul 7, 2024