BEREL-finetuned-DSS-maskedLM
This model is a fine-tuned version of dicta-il/BEREL on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.7778
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 54 | 5.0213 |
| 5.5088 | 2.0 | 108 | 5.0860 |
| 5.5088 | 3.0 | 162 | 4.9113 |
| 5.1078 | 4.0 | 216 | 4.8108 |
| 5.1078 | 5.0 | 270 | 4.6747 |
| 5.0446 | 6.0 | 324 | 4.8806 |
| 5.0446 | 7.0 | 378 | 4.8446 |
| 4.941 | 8.0 | 432 | 4.6467 |
| 4.941 | 9.0 | 486 | 4.6849 |
| 4.9755 | 10.0 | 540 | 4.6798 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
dicta-il/BEREL