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fine-tuned-bert-mini-5
aaaacash/fine-tuned-bert-mini-5
fine-tuned-bert-mini-5 is a question answering model from aaaacash. 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
- Feb 2, 2023
- Updated
- Feb 3, 2023
- SHA
- 1b968e4b
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. -->
fine-tuned-bert-mini-5
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7607
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 |
|---|---|---|---|
| 0.4197 | 1.0 | 3765 | 0.7540 |
| 0.4152 | 2.0 | 7530 | 0.7607 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Feb 2, 2023
- Updated
- Feb 3, 2023