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bert_adaptation_resenas_de_vinos
ebound/bert_adaptation_resenas_de_vinos
bert_adaptation_resenas_de_vinos is a fill-mask model from ebound. 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
- Nov 25, 2023
- Updated
- Nov 25, 2023
- SHA
- 80e59171
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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_resenas_de_vinos
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: 2.2008
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1862 | 1.0 | 375 | 2.6068 |
| 2.547 | 2.0 | 750 | 2.4178 |
| 2.3687 | 3.0 | 1125 | 2.2621 |
| 2.2798 | 4.0 | 1500 | 2.2143 |
| 2.2357 | 5.0 | 1875 | 2.2026 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Nov 25, 2023
- Updated
- Nov 25, 2023