BulBERT-finetunes-BgGLUE
Collection
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Updated
BulBERT-xnli-2epochs
This model is a fine-tuned version of mor40/BulBERT-chitanka-model on the bgglue dataset. It achieves the following results on the evaluation set:
- Loss: 0.7013
- Accuracy: 0.7016
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: 48
- eval_batch_size: 48
- 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 |
|---|---|---|---|---|
| 0.7543 | 1.0 | 8182 | 0.7510 | 0.6731 |
| 0.6804 | 2.0 | 16364 | 0.7013 | 0.7016 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for mor40/BulBERT-xnli-2epochs
Base model
mor40/BulBERT-chitanka-model