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berel_finetuned_on_HB_10_epochs
martijn75/berel_finetuned_on_HB_10_epochs
berel_finetuned_on_HB_10_epochs is a fill-mask model from martijn75. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 6, 2025
- Updated
- Mar 6, 2025
- SHA
- 19ef0bae
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
berel_finetuned_on_HB_10_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: 8.5404
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.079 | 0.2153 | 500 | 8.6612 |
| 8.6798 | 0.4307 | 1000 | 8.6493 |
| 8.6719 | 0.6460 | 1500 | 8.6301 |
| 8.6721 | 0.8613 | 2000 | 8.6263 |
| 8.5797 | 1.0767 | 2500 | 8.6402 |
| 8.5852 | 1.2920 | 3000 | 8.6847 |
| 8.5078 | 1.5073 | 3500 | 8.6465 |
| 8.5515 | 1.7227 | 4000 | 8.5885 |
| 8.5242 | 1.9380 | 4500 | 8.6956 |
| 8.5715 | 2.1533 | 5000 | 8.6018 |
| 8.5169 | 2.3686 | 5500 | 8.5959 |
| 8.5334 | 2.5840 | 6000 | 8.6440 |
| 8.52 | 2.7993 | 6500 | 8.6562 |
| 8.53 | 3.0146 | 7000 | 8.6432 |
| 8.5359 | 3.2300 | 7500 | 8.6783 |
| 8.4725 | 3.4453 | 8000 | 8.5500 |
| 8.4756 | 3.6606 | 8500 | 8.6706 |
| 8.4507 | 3.8760 | 9000 | 8.6479 |
| 8.4904 | 4.0913 | 9500 | 8.6086 |
| 8.4334 | 4.3066 | 10000 | 8.5866 |
| 8.467 | 4.5220 | 10500 | 8.5847 |
| 8.4697 | 4.7373 | 11000 | 8.6239 |
| 8.431 | 4.9526 | 11500 | 8.6191 |
| 8.4106 | 5.1680 | 12000 | 8.6032 |
| 8.4453 | 5.3833 | 12500 | 8.5755 |
| 8.4612 | 5.5986 | 13000 | 8.5904 |
| 8.4625 | 5.8140 | 13500 | 8.5710 |
| 8.3992 | 6.0293 | 14000 | 8.5509 |
| 8.3871 | 6.2446 | 14500 | 8.5752 |
| 8.6536 | 6.4599 | 15000 | 8.5860 |
| 8.4055 | 6.6753 | 15500 | 8.6032 |
| 8.4246 | 6.8906 | 16000 | 8.6231 |
| 8.4507 | 7.1059 | 16500 | 8.5682 |
| 8.4161 | 7.3213 | 17000 | 8.5964 |
| 8.356 | 7.5366 | 17500 | 8.5273 |
| 8.3667 | 7.7519 | 18000 | 8.5445 |
| 8.4002 | 7.9673 | 18500 | 8.5540 |
| 8.3857 | 8.1826 | 19000 | 8.5309 |
| 8.3508 | 8.3979 | 19500 | 8.6229 |
| 8.3208 | 8.6133 | 20000 | 8.5374 |
| 8.3711 | 8.8286 | 20500 | 8.5328 |
| 8.3891 | 9.0439 | 21000 | 8.5885 |
| 8.3473 | 9.2593 | 21500 | 8.5572 |
| 8.3621 | 9.4746 | 22000 | 8.5816 |
| 8.3778 | 9.6899 | 22500 | 8.4805 |
| 8.3265 | 9.9053 | 23000 | 8.5404 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 6, 2025
- Updated
- Mar 6, 2025