distilbert_finetuned_yahoo_answers_topics

gavulsim/distilbert_finetuned_yahoo_answers_topics

distilbert_finetuned_yahoo_answers_topics is a text classification model from gavulsim. 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. --

Downloads · 30 days

0% of all-time downloads

All-time downloads

23.8K

Public

Repo size

2.7 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin268 MB · 99%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Oct 27, 2023
Updated: Oct 27, 2023
SHA: 1c9d94a1

Try a prompt

Base models

Datasets

yahoo_answers_topics

Model card

From the Hugging Face model README

deberta_finetuned_yahoo_answers_topics

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

Loss: 0.9096
Accuracy: 0.7119

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 30000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1025	0.03	5000	1.0702	0.6717
1.0132	0.06	10000	0.9976	0.6834
0.8688	0.09	15000	0.9770	0.6961
0.9964	0.11	20000	0.9356	0.7020
0.9338	0.14	25000	0.9259	0.7090
0.9059	0.17	30000	0.9096	0.7119

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Oct 27, 2023
Updated: Oct 27, 2023