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bert-base-multilingual-cased-squad-es
ani2857/bert-base-multilingual-cased-squad-es
bert-base-multilingual-cased-squad-es is a question answering model from ani2857. Use it when the input is a question plus a passage. 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
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Oct 21, 2023
- Updated
- Nov 13, 2023
- SHA
- 8b6885c7
Try a prompt
Base models
Datasets
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-squad-es
This model is a fine-tuned version of bert-base-multilingual-cased on the xquad_xtreme dataset. It achieves the following results on the evaluation set:
- Loss: 1.2235
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1125 | 1.0 | 5668 | 1.1405 |
| 0.839 | 2.0 | 11336 | 1.1626 |
| 0.6148 | 3.0 | 17004 | 1.2235 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 21, 2023
- Updated
- Nov 13, 2023