distilbert-base-multilingual-cased-finetuned-sentiment-albanian
This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3126
- F1-score: : 0.9393
- Accuracy score: : 0.8902
Model description
More information needed
Intended uses & limitations
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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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score: | Accuracy score: |
|---|---|---|---|---|---|
| 0.3698 | 1.0 | 149 | 0.3424 | 0.9290 | 0.8675 |
| 0.2995 | 2.0 | 298 | 0.3174 | 0.9362 | 0.8822 |
| 0.251 | 3.0 | 447 | 0.3126 | 0.9393 | 0.8902 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
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