distilbert-base-uncased-finetuned-emotion
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5794
- Accuracy: 0.352
- F1: 0.1833
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: 0.001
- train_batch_size: 8
- 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
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|
| 1.5736 | 1.0 | 54102 | 1.5794 | 0.352 | 0.1833 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu118
- Datasets 3.6.0
- Tokenizers 0.21.1
