HikariLight/emotion_classification_fr

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emotionclassificationfr

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: constant
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

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