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LR1E5_BS32_Distilbert-QA-Pytorch-FULL
tyavika/LR1E5_BS32_Distilbert-QA-Pytorch-FULL
LR1E5_BS32_Distilbert-QA-Pytorch-FULL is a question answering model from tyavika. 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
- Jul 7, 2023
- Updated
- Jul 7, 2023
- SHA
- 042ecccd
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. -->
LR1E5_BS32_Distilbert-QA-Pytorch-FULL
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2043
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|
| 1.6135 | 1.0 | 1645 | 1.3826 |
| 1.2998 | 2.0 | 3290 | 1.2342 |
| 1.11 | 3.0 | 4935 | 1.1911 |
| 0.9527 | 4.0 | 6580 | 1.1765 |
| 0.8626 | 5.0 | 8225 | 1.1848 |
| 0.7854 | 6.0 | 9870 | 1.2043 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 7, 2023
- Updated
- Jul 7, 2023