multilingual-e5-large-finetuned-autext24

andricValdez/multilingual-e5-large-finetuned-autext24

multilingual-e5-large-finetuned-autext24 is a text classification model from andricValdez. 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: May 25, 2024
Updated: May 25, 2024
SHA: 6e094a1e

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Base models

intfloat/multilingual-e5-large

Model card

From the Hugging Face model README

multilingual-e5-large-finetuned-autext24

This model is a fine-tuned version of intfloat/multilingual-e5-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2096
Accuracy: 0.9673
F1: 0.9673

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: 16
eval_batch_size: 16
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
No log	1.0	4798	0.1903	0.9527	0.9526
0.1396	2.0	9596	0.1751	0.9672	0.9672
0.1396	3.0	14394	0.2093	0.9647	0.9646
0.0391	4.0	19192	0.1954	0.9690	0.9690
0.0391	5.0	23990	0.2096	0.9673	0.9673

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: May 25, 2024
Updated: May 25, 2024