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distilbert-base-uncased-finetuned-squad
jstotz64/distilbert-base-uncased-finetuned-squad
distilbert-base-uncased-finetuned-squad is a question answering model from jstotz64. 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. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- May 17, 2024
- Updated
- May 19, 2024
- SHA
- 18e60cd5
Try a prompt
Base models
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 an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4237
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 |
|---|---|---|---|
| 1.2116 | 1.0 | 8235 | 1.2919 |
| 0.9222 | 2.0 | 16470 | 1.2244 |
| 0.753 | 3.0 | 24705 | 1.4237 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.1
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- Created
- May 17, 2024
- Updated
- May 19, 2024