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Distilbert-base-uncased-finetuned-SQuADv1.1
lauraparra28/Distilbert-base-uncased-finetuned-SQuADv1.1
Distilbert-base-uncased-finetuned-SQuADv1.1 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
- distilbert
- Access
- Public
- Created
- Oct 15, 2023
- Updated
- Oct 17, 2023
- SHA
- 938e0f03
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 dataset. It achieves the following results on the evaluation set:
- Loss: 1.3423
- EM: 85.59527
- F1: 77.06717
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2093 | 1.0 | 5533 | 1.1628 |
| 0.957 | 2.0 | 11066 | 1.1382 |
| 0.7163 | 3.0 | 16599 | 1.1780 |
| 0.5593 | 4.0 | 22132 | 1.2455 |
| 0.4661 | 5.0 | 27665 | 1.3423 |
Framework versions
- Transformers 4.34.0
- Pytorch 1.12.1
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 15, 2023
- Updated
- Oct 17, 2023