language-detection-fine-tuned-on-xlm-roberta-base

d2creation/language-detection-fine-tuned-on-xlm-roberta-base

language-detection-fine-tuned-on-xlm-roberta-base is a text classification model from d2creation. 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: Mar 11, 2024
Updated: Apr 29, 2024
SHA: df8121e2

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Base models

Model card

From the Hugging Face model README

language-detection-fine-tuned-on-xlm-roberta-base

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

Loss: 0.0934
Accuracy: 0.9851

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
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1859	1.0	2775	0.1482	0.9696
0.102	2.0	5550	0.1189	0.9792
0.0575	3.0	8325	0.0934	0.9851

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Mar 11, 2024
Updated: Apr 29, 2024