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distilbert-base-uncased-finetuned-squad
Evelyn18/distilbert-base-uncased-finetuned-squad
distilbert-base-uncased-finetuned-squad is a question answering model from Evelyn18. 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
- May 8, 2022
- Updated
- Jun 22, 2022
- SHA
- 229e1dfe
Try a prompt
Datasets
Spaces
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 becasv2 dataset. It achieves the following results on the evaluation set:
- Loss: 4.0087
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 5 | 5.5219 |
| No log | 2.0 | 10 | 4.9747 |
| No log | 3.0 | 15 | 4.5448 |
| No log | 4.0 | 20 | 4.1843 |
| No log | 5.0 | 25 | 3.8491 |
| No log | 6.0 | 30 | 3.6789 |
| No log | 7.0 | 35 | 3.5018 |
| No log | 8.0 | 40 | 3.4254 |
| No log | 9.0 | 45 | 3.4566 |
| No log | 10.0 | 50 | 3.4326 |
| No log | 11.0 | 55 | 3.5741 |
| No log | 12.0 | 60 | 3.5260 |
| No log | 13.0 | 65 | 3.7003 |
| No log | 14.0 | 70 | 3.7499 |
| No log | 15.0 | 75 | 3.7961 |
| No log | 16.0 | 80 | 3.8578 |
| No log | 17.0 | 85 | 3.9928 |
| No log | 18.0 | 90 | 4.0305 |
| No log | 19.0 | 95 | 4.0024 |
| No log | 20.0 | 100 | 4.0087 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 8, 2022
- Updated
- Jun 22, 2022