distilbert-base-german-cased

CodeWithSwap01/distilbert-base-german-cased

distilbert-base-german-cased is a text classification model from CodeWithSwap01. 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

2% of all-time downloads

All-time downloads

382

Public

Parameters

67.4M

809 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors270 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jul 30, 2024
Updated: Jul 30, 2024
SHA: bc146667

Try a prompt

Base models

Model card

From the Hugging Face model README

distilbert-base-german-cased

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

Loss: 0.4297
Accuracy: 0.8842
F1: 0.8843

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6037	1.0	1156	0.4114	0.8765	0.8765
0.4754	2.0	2312	0.4201	0.8784	0.8790
0.4359	3.0	3468	0.4297	0.8842	0.8843

Framework versions

Transformers 4.40.2
Pytorch 2.3.1
Datasets 2.19.1
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jul 30, 2024
Updated: Jul 30, 2024