roberta-base-bne-detector-de-stress-detector-de-stress

ValenHumano/roberta-base-bne-detector-de-stress-detector-de-stress

roberta-base-bne-detector-de-stress-detector-de-stress is a text classification model from ValenHumano. 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: Apr 11, 2023
Updated: Apr 11, 2023
SHA: f8eaae9f

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Model card

From the Hugging Face model README

roberta-base-bne-detector-de-stress-detector-de-stress

This model is a fine-tuned version of ValenHumano/roberta-base-bne-detector-de-stress on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4838
Accuracy: 0.7571

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4735	1.0	169	0.3888	0.8143
0.2484	2.0	338	0.4838	0.7571

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Apr 11, 2023
Updated: Apr 11, 2023