xlm-roberta-base-fire-classification-silvanus

rollerhafeezh/xlm-roberta-base-fire-classification-silvanus

xlm-roberta-base-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 mit.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

0% of all-time downloads

All-time downloads

59.6K

Public

Parameters

278M

4.5 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.1 GB · 98%

At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Jan 29, 2024
Updated: Jan 30, 2024
SHA: dce5971d

Try a prompt

Base models

Model card

From the Hugging Face model README

xlm-roberta-base-fire-classification-silvanus

This model is a fine-tuned version of xlm-roberta-base on the Twitter (X) dataset based on the "forest fire" keyword. It achieves the following results on the evaluation set:

Loss: 0.5255
Accuracy: 0.8884

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: 3e-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	0.5431	0.8670
No log	2.0	466	0.5125	0.8670
0.4162	3.0	699	0.5255	0.8884

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: xlm-roberta
License: mit
Languages: id, en, es, it, sk
Created: Jan 29, 2024
Updated: Jan 30, 2024