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tinybert-6l-768d-squad2-finetuned-SRH-v2
allistair99/tinybert-6l-768d-squad2-finetuned-SRH-v2
tinybert-6l-768d-squad2-finetuned-SRH-v2 is a question answering model from allistair99. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Mar 12, 2024
- Updated
- Mar 12, 2024
- SHA
- 6439415a
Try a prompt
Base models
Datasets
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. -->
tinybert-6l-768d-squad2-finetuned-SRH-v2
This model is a fine-tuned version of deepset/tinybert-6l-768d-squad2 on the srh_test66 dataset. It achieves the following results on the evaluation set:
- Loss: 1.7136
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 |
|---|---|---|---|
| 4.0123 | 1.0 | 43 | 1.7703 |
| 1.3653 | 2.0 | 86 | 1.7254 |
| 1.5558 | 3.0 | 129 | 1.7136 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Mar 12, 2024
- Updated
- Mar 12, 2024