xlm-roberta-base-finetuned-m_avoid_harm_seler

Gregorig/xlm-roberta-base-finetuned-m_avoid_harm_seler

xlm-roberta-base-finetuned-m_avoid_harm_seler is a text classification model from Gregorig. 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. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Jun 5, 2024
Updated: Jun 5, 2024
SHA: 7998dde5

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Base models

FacebookAI/xlm-roberta-base

Model card

From the Hugging Face model README

xlm-roberta-base-finetuned-m_avoid_harm_seler

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5754
Accuracy: 0.725
F1: 0.8120

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7371	1.0	26	0.6372	0.965	0.9478
0.6778	2.0	52	0.6466	0.74	0.8221
0.655	3.0	78	0.6079	0.69	0.7871
0.5883	4.0	104	0.5863	0.77	0.8415
0.5832	5.0	130	0.5754	0.725	0.8120

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Jun 5, 2024
Updated: Jun 5, 2024