gsar78/Greek_Emotions_v02

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GreekEmotionsv02

This model is a fine-tuned version of gsar78/HellenicSentimentAI on a custom emotions dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1866
• —F1: 0.6305
• —Precision: 0.6569
• —Recall: 0.6155
• —Roc Auc: 0.8750
• —Hamming: 0.0586
• —Lrap: 0.7413
• —Lrloss: 0.2037

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: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear

Framework versions

• —Transformers 4.42.4
• —Pytorch 2.3.1+cu121
• —Datasets 2.20.0
• —Tokenizers 0.19.1