emotion_classification_fr

HikariLight/emotion_classification_fr

emotion_classification_fr is a machine learning model from HikariLight. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.

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

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Hugging Face

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At a glance

Library: peft
License: mit
Access: Public
Created: Oct 10, 2024
Updated: Oct 10, 2024
SHA: 4d568804

Base models

FacebookAI/xlm-roberta-large

Model card

From the Hugging Face model README

emotion_classification_fr

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

Loss: 0.5239
Accuracy: 0.815
Precision: 0.8165
Recall: 0.815
F1-score: 0.8152

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: 0.0001
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: constant
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1-score
0.6944	1.0	1000	0.6852	0.76	0.7601	0.76	0.7584
0.7167	2.0	2000	0.5862	0.798	0.8032	0.798	0.7994
0.5138	3.0	3000	0.5239	0.815	0.8165	0.815	0.8152

Framework versions

PEFT 0.13.0
Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Library: peft
License: mit
Created: Oct 10, 2024
Updated: Oct 10, 2024