Greek_Emotions_v02
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
- 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
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Inference Providers
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Model tree for gsar78/Greek_Emotions_v02
Base model
gsar78/HellenicSentimentAI