BulBERT-finetunes-BgGLUE
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BulBERT-finetuned-cinexio
This model is a fine-tuned version of mor40/BulBERT-chitanka-model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5682
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 15 | 2.6779 |
| No log | 2.0 | 30 | 2.3855 |
| No log | 3.0 | 45 | 2.4778 |
| No log | 4.0 | 60 | 2.6428 |
| No log | 5.0 | 75 | 2.5682 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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