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bert-base-cased-finetuned-squad_v2-bs_32
lauraparra28/bert-base-cased-finetuned-squad_v2-bs_32
bert-base-cased-finetuned-squad_v2-bs_32 is a question answering model from lauraparra28. 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 17, 2023
- Updated
- Oct 17, 2023
- SHA
- 390e1bfe
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-cased-finetuned-squad_v2-bs_32
This model is a fine-tuned version of bert-base-cased on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.5835
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0646 | 1.0 | 4128 | 1.1130 |
| 0.8143 | 2.0 | 8256 | 1.1558 |
| 0.6028 | 3.0 | 12384 | 1.3857 |
| 0.47 | 4.0 | 16512 | 1.4318 |
| 0.3676 | 5.0 | 20640 | 1.5835 |
Framework versions
- Transformers 4.34.0
- Pytorch 1.12.1
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 17, 2023
- Updated
- Oct 17, 2023