Downloads · 30 days
6
13% of all-time downloads
bert-base-dutch-cased-finetuned-squad
Ztijn/bert-base-dutch-cased-finetuned-squad
bert-base-dutch-cased-finetuned-squad is a question answering model from Ztijn. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
47
Public
Repo size
11.7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin434 MB · 100%
At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 22, 2023
- Updated
- May 22, 2023
- SHA
- a240c347
Try a prompt
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-dutch-cased-finetuned-squad
This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4324
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 |
|---|---|---|---|
| 1.261 | 1.0 | 8350 | 1.1667 |
| 0.9583 | 2.0 | 16700 | 1.2665 |
| 0.6993 | 3.0 | 25050 | 1.4324 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- May 22, 2023
- Updated
- May 22, 2023