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my_awesome_qa_model
LeytonC/my_awesome_qa_model
my_awesome_qa_model is a question answering model from LeytonC. 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
- Dec 31, 2023
- Updated
- Jan 7, 2024
- SHA
- 79936d7e
Try a prompt
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 was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0620
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 |
|---|---|---|---|
| No log | 1.0 | 2 | 1.1613 |
| No log | 2.0 | 4 | 1.1001 |
| No log | 3.0 | 6 | 1.0620 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- Created
- Dec 31, 2023
- Updated
- Jan 7, 2024