modernBERT-emotion
This model is a fine-tuned version of answerdotai/ModernBERT-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4445
- Accuracy: 0.5587
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: 2e-06
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0661 | 1.0 | 1289 | 1.6502 | 0.5164 |
| 1.475 | 2.0 | 2578 | 1.4890 | 0.5509 |
| 1.3346 | 3.0 | 3867 | 1.4586 | 0.5647 |
| 1.2821 | 4.0 | 5156 | 1.4445 | 0.5587 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for devhem/modernBERT-emotion
Base model
answerdotai/ModernBERT-large