ModernEMO-base
This model is a fine-tuned version of answerdotai/ModernBERT-base on Jsevisal/go_emotions_ekman It achieves the following results on the evaluation set:
- Loss: 0.2224
- F1: 0.7037
- Roc Auc: 0.8143
- Accuracy: 0.6226
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: 8e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.2162 | 1.0 | 2714 | 0.2049 | 0.6920 | 0.7979 | 0.6010 |
| 0.1553 | 2.0 | 5428 | 0.2224 | 0.7037 | 0.8143 | 0.6226 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Jsevisal/ModernEMO-base-multilabel
Base model
answerdotai/ModernBERT-base