Ludo33/e5_Eau_Multilabel_Topic_Sentiment

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e5EauMultilabelTopicSentiment

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

• —Loss: 0.1566
• —F1 Topic: 0.9104
• —F1 Sentiment: 0.8933
• —F1 Macro Avg: 0.9019

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: 1e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 20
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.53.2
• —Pytorch 2.6.0+cu124
• —Datasets 4.0.0
• —Tokenizers 0.21.2