da-discourse-coherence-base

alexandrainst/da-discourse-coherence-base

da-discourse-coherence-base is a text classification model from alexandrainst. 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

5.8K

Public

Parameters

178M

2.1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin711 MB · 50%

Parameter types

How the weights are stored.

F32178M · 100%

Base models

NbAiLab/nb-bert-base

Datasets

ajders/ddisco

Model card

From the Hugging Face model README

da-discourse-coherence-base

This model is a fine-tuned version of NbAiLab/nb-bert-base on the DDisco dataset. It achieves the following results on the evaluation set:

Loss: 0.7487
Accuracy: 0.6915

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 703
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 6.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3422	0.4	5	1.0166	0.5721
0.9645	0.8	10	0.8966	0.5721
0.9854	1.24	15	0.8499	0.5721
0.8628	1.64	20	0.8379	0.6517
0.9046	2.08	25	0.8228	0.5721
0.8361	2.48	30	0.7980	0.5821
0.8158	2.88	35	0.8095	0.5821
0.8689	3.32	40	0.7989	0.6169
0.8125	3.72	45	0.7730	0.6965
0.843	4.16	50	0.7566	0.6418
0.7421	4.56	55	0.7840	0.6517
0.7949	4.96	60	0.7531	0.6915
0.828	5.4	65	0.7464	0.6816
0.7438	5.8	70	0.7487	0.6915

Framework versions

Transformers 4.26.0
Pytorch 1.13.0a0+d0d6b1f
Datasets 2.9.0
Tokenizers 0.13.2

Contributor

ajders

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Languages: da
Created: Feb 8, 2023
Updated: Sep 20, 2023