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bert-base-turkish-cased-emotion-analysis
This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0437
- Accuracy: 0.995 ??
- F1: 0.9950 ??
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 | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 119 | 0.0378 | 0.99 | 0.9900 |
| No log | 2.0 | 238 | 0.0437 | 0.995 | 0.9950 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.0+cpu
- Datasets 2.10.1
- Tokenizers 0.13.2
