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my_qa_model
al123/my_qa_model
my_qa_model is a question answering model from al123. 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
- camembert
- Access
- Public
- Created
- Jun 26, 2023
- Updated
- Jun 26, 2023
- SHA
- 7d95e6ac
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_qa_model
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.4132
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 250 | 4.4635 |
| 4.4252 | 2.0 | 500 | 4.4132 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- camembert
- Created
- Jun 26, 2023
- Updated
- Jun 26, 2023