distilbert-base-multiling-finetuned-emotion-bg
This model is a fine-tuned version of distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5969
- Accuracy: 0.8229
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1726 | 1.0 | 748 | 0.7208 | 0.7540 |
| 0.5873 | 2.0 | 1496 | 0.5815 | 0.8028 |
| 0.4152 | 3.0 | 2244 | 0.5605 | 0.8148 |
| 0.3036 | 4.0 | 2992 | 0.5905 | 0.8182 |
| 0.2402 | 5.0 | 3740 | 0.5969 | 0.8229 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2