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my_awesome_qa_model
sglasher/my_awesome_qa_model
my_awesome_qa_model is a question answering model from sglasher. 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
- bert
- Access
- Public
- Created
- Oct 11, 2023
- Updated
- Oct 12, 2023
- SHA
- 85cded73
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 mrm8488/bert-multi-cased-finetuned-xquadv1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1879
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 | 375 | 1.0704 |
| 1.1969 | 2.0 | 750 | 1.0312 |
| 0.6012 | 3.0 | 1125 | 1.1879 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Oct 11, 2023
- Updated
- Oct 12, 2023