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bert-base-multilingual-cased-finetuned-yiddish-experiment-3
Addaci/bert-base-multilingual-cased-finetuned-yiddish-experiment-3
bert-base-multilingual-cased-finetuned-yiddish-experiment-3 is a fill-mask model from Addaci. 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
- Dec 7, 2024
- Updated
- Dec 7, 2024
- SHA
- 9fb862d0
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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. -->
bert-base-multilingual-cased-finetuned-yiddish-experiment-3
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4254
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: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- 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
- lr_scheduler_warmup_steps: 300
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 11.143 | 0.2364 | 100 | 7.6591 |
| 4.1737 | 0.4728 | 200 | 2.2642 |
| 2.0579 | 0.7092 | 300 | 1.7710 |
| 1.6963 | 0.9456 | 400 | 1.6712 |
| 1.5705 | 1.1820 | 500 | 1.6379 |
| 1.5353 | 1.4184 | 600 | 1.6003 |
| 1.5213 | 1.6548 | 700 | 1.5273 |
| 1.4387 | 1.8913 | 800 | 1.5415 |
| 1.3973 | 2.1277 | 900 | 1.5530 |
| 1.4266 | 2.3641 | 1000 | 1.5328 |
| 1.3365 | 2.6005 | 1100 | 1.5154 |
| 1.4423 | 2.8369 | 1200 | 1.4662 |
| 1.3948 | 3.0733 | 1300 | 1.5041 |
| 1.3244 | 3.3097 | 1400 | 1.4530 |
| 1.3645 | 3.5461 | 1500 | 1.4656 |
| 1.329 | 3.7825 | 1600 | 1.4542 |
| 1.3326 | 4.0189 | 1700 | 1.5293 |
| 1.2768 | 4.2553 | 1800 | 1.4575 |
| 1.3125 | 4.4917 | 1900 | 1.4638 |
| 1.2925 | 4.7281 | 2000 | 1.4867 |
| 1.281 | 4.9645 | 2100 | 1.4827 |
| 1.2966 | 5.2009 | 2200 | 1.4359 |
| 1.28 | 5.4374 | 2300 | 1.4761 |
| 1.2436 | 5.6738 | 2400 | 1.5006 |
| 1.2787 | 5.9102 | 2500 | 1.4511 |
| 1.2344 | 6.1466 | 2600 | 1.4430 |
| 1.199 | 6.3830 | 2700 | 1.4254 |
| 1.2899 | 6.6194 | 2800 | 1.4339 |
| 1.2637 | 6.8558 | 2900 | 1.4609 |
| 1.2186 | 7.0922 | 3000 | 1.4300 |
| 1.181 | 7.3286 | 3100 | 1.4407 |
| 1.2815 | 7.5650 | 3200 | 1.4471 |
| 1.2161 | 7.8014 | 3300 | 1.4413 |
| 1.1562 | 8.0378 | 3400 | 1.4695 |
| 1.1668 | 8.2742 | 3500 | 1.4940 |
| 1.2557 | 8.5106 | 3600 | 1.4430 |
| 1.1985 | 8.7470 | 3700 | 1.4562 |
| 1.2051 | 8.9835 | 3800 | 1.4412 |
| 1.1588 | 9.2199 | 3900 | 1.4421 |
| 1.2002 | 9.4563 | 4000 | 1.4477 |
| 1.2339 | 9.6927 | 4100 | 1.4573 |
| 1.1918 | 9.9291 | 4200 | 1.4463 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 7, 2024
- Updated
- Dec 7, 2024