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: 5.2651
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 62 | 5.5358 |
| No log | 2.0 | 124 | 5.4313 |
| No log | 3.0 | 186 | 5.3689 |
| No log | 4.0 | 248 | 5.2787 |
| No log | 5.0 | 310 | 5.1154 |
| No log | 6.0 | 372 | 5.1922 |
| No log | 7.0 | 434 | 5.1571 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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