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my_awesome_qa_model
2023mt03024/my_awesome_qa_model
my_awesome_qa_model is a question answering model from 2023mt03024. 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
- Oct 30, 2024
- Updated
- Oct 30, 2024
- SHA
- 0971ee57
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/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5546
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 | 250 | 2.0685 |
| 2.5379 | 2.0 | 500 | 1.5952 |
| 2.5379 | 3.0 | 750 | 1.5546 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cpu
- Datasets 3.0.2
- Tokenizers 0.20.1
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- Created
- Oct 30, 2024
- Updated
- Oct 30, 2024