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my_awesome_qa_model
Shrutina/my_awesome_qa_model
my_awesome_qa_model is a question answering model from Shrutina. 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 26, 2023
- Updated
- Nov 26, 2023
- SHA
- 14f30c2d
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. -->
my_awesome_qa_model
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: 2.0778
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 7 | 5.0374 |
| No log | 2.0 | 14 | 3.9770 |
| No log | 3.0 | 21 | 3.1884 |
| No log | 4.0 | 28 | 2.6677 |
| No log | 5.0 | 35 | 2.2774 |
| No log | 6.0 | 42 | 2.1700 |
| No log | 7.0 | 49 | 2.0901 |
| No log | 8.0 | 56 | 2.0500 |
| No log | 9.0 | 63 | 2.0693 |
| No log | 10.0 | 70 | 2.0778 |
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 26, 2023
- Updated
- Nov 26, 2023