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bert_adaptation_martin_fierro
javier-rooster/bert_adaptation_martin_fierro
bert_adaptation_martin_fierro is a fill-mask model from javier-rooster. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Sep 13, 2023
- Updated
- Sep 13, 2023
- SHA
- 3589b140
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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_adaptation_martin_fierro
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3589
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.7247 | 1.0 | 29 | 5.0114 |
| 4.7766 | 2.0 | 58 | 4.5598 |
| 4.3216 | 3.0 | 87 | 4.3656 |
| 4.0132 | 4.0 | 116 | 4.5464 |
| 3.8366 | 5.0 | 145 | 4.0157 |
| 3.7597 | 6.0 | 174 | 3.8641 |
| 3.6244 | 7.0 | 203 | 3.7634 |
| 3.6043 | 8.0 | 232 | 3.9174 |
| 3.4767 | 9.0 | 261 | 3.7874 |
| 3.2991 | 10.0 | 290 | 3.8620 |
| 3.3156 | 11.0 | 319 | 3.6171 |
| 3.1485 | 12.0 | 348 | 3.7967 |
| 3.0732 | 13.0 | 377 | 3.3494 |
| 3.0403 | 14.0 | 406 | 3.6496 |
| 2.9722 | 15.0 | 435 | 3.9632 |
| 2.9535 | 16.0 | 464 | 3.4333 |
| 2.9057 | 17.0 | 493 | 3.9740 |
| 2.724 | 18.0 | 522 | 3.8314 |
| 2.885 | 19.0 | 551 | 3.7820 |
| 2.861 | 20.0 | 580 | 3.6939 |
| 2.8194 | 21.0 | 609 | 3.9656 |
| 2.7182 | 22.0 | 638 | 3.8121 |
| 2.6446 | 23.0 | 667 | 3.8670 |
| 2.6841 | 24.0 | 696 | 3.6597 |
| 2.793 | 25.0 | 725 | 3.8053 |
| 2.7631 | 26.0 | 754 | 4.1065 |
| 2.5897 | 27.0 | 783 | 3.7100 |
| 2.6229 | 28.0 | 812 | 3.7801 |
| 2.6084 | 29.0 | 841 | 3.7222 |
| 2.634 | 30.0 | 870 | 3.6621 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Sep 13, 2023
- Updated
- Sep 13, 2023