berel_finetuned_on_HB_2_epochs
This model is a fine-tuned version of dicta-il/BEREL on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.4913
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.0863 | 0.2153 | 500 | 5.2824 |
| 6.6278 | 0.4307 | 1000 | 5.8659 |
| 7.3634 | 0.6460 | 1500 | 8.4955 |
| 8.5749 | 0.8613 | 2000 | 8.4985 |
| 8.4823 | 1.0767 | 2500 | 8.5318 |
| 8.425 | 1.2920 | 3000 | 8.4959 |
| 8.4564 | 1.5073 | 3500 | 8.5410 |
| 8.4493 | 1.7227 | 4000 | 8.4735 |
| 8.4179 | 1.9380 | 4500 | 8.4913 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for martijn75/berel_finetuned_on_HB_2_epochs
Base model
dicta-il/BEREL