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distilbert-base-uncased-finetuned-squad
bornadr/distilbert-base-uncased-finetuned-squad
distilbert-base-uncased-finetuned-squad is a question answering model from bornadr. 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
- distilbert
- Access
- Public
- Created
- Nov 20, 2023
- Updated
- Dec 12, 2023
- SHA
- e157c645
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. -->
distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of distilbert-base-uncased on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 2.5771
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 165 | 2.3594 |
| No log | 2.0 | 331 | 2.0377 |
| No log | 3.0 | 496 | 2.1027 |
| 2.3369 | 4.0 | 662 | 2.3600 |
| 2.3369 | 5.0 | 827 | 2.3394 |
| 2.3369 | 6.0 | 993 | 2.3088 |
| 1.0993 | 7.0 | 1158 | 2.4273 |
| 1.0993 | 8.0 | 1324 | 2.5872 |
| 1.0993 | 9.0 | 1489 | 2.5156 |
| 0.774 | 9.97 | 1650 | 2.5771 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 20, 2023
- Updated
- Dec 12, 2023