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hebrewLM-alephbertgimmel-base
This model is a fine-tuned version of dicta-il/alephbertgimmel-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.2339
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.3874 | 1.0 | 619 | 5.3808 |
| 5.4643 | 2.0 | 1238 | 5.2607 |
| 5.2998 | 3.0 | 1857 | 5.2339 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
