mBERT_sa_cv_13_fold1

DiederikMartens/mBERT_sa_cv_13_fold1

mBERT_sa_cv_13_fold1 is a text classification model from DiederikMartens. 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

16% of all-time downloads

All-time downloads

Public

Parameters

178M

2.1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors711 MB · 99%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: May 28, 2024
Updated: May 28, 2024
SHA: 3f7e4d3d

Try a prompt

Base models

google-bert/bert-base-multilingual-cased

Model card

From the Hugging Face model README

mBERT_sa_cv_13_fold1

This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6084
F1: 0.4494

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: 4.47e-05
train_batch_size: 16
eval_batch_size: 32
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	F1
No log	1.0	325	0.7639	0.2851
0.7346	2.0	650	0.6622	0.4306
0.7346	3.0	975	0.6084	0.4494

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: May 28, 2024
Updated: May 28, 2024