bert-base-multilingual-cased-fire-classification-silvanus

rollerhafeezh/bert-base-multilingual-cased-fire-classification-silvanus

bert-base-multilingual-cased-fire-classification-silvanus is a text classification model from rollerhafeezh. 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

1% of all-time downloads

All-time downloads

524

Public

Parameters

178M

711 MB 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: Jan 29, 2024
Updated: Jun 24, 2024
SHA: c6b67e91

Try a prompt

Base models

Model card

From the Hugging Face model README

bert-base-multilingual-cased-fire-classification-silvanus

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

Loss: 0.3171
Accuracy: 0.9185

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
No log	1.0	233	0.2618	0.9056
No log	2.0	466	0.2923	0.9142
0.3256	3.0	699	0.3171	0.9185

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Languages: id, en, es, it, sk
Created: Jan 29, 2024
Updated: Jun 24, 2024