distilbert-base-turkish-cased-finetuned-emotion
This model is a fine-tuned version of dbmdz/distilbert-base-turkish-cased on the turkish-multiclass-dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.4861
- F1: {'f1': 0.8276613385259164}
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-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2578 | 1.0 | 313 | 0.5459 | {'f1': 0.8212239281513611} |
| 0.381 | 2.0 | 626 | 0.4861 | {'f1': 0.8276613385259164} |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1