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qamodel2
itsamitkumar/qamodel2
qamodel2 is a question answering model from itsamitkumar. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- cc-by-4.0
- Model type
- roberta
- Access
- Public
- Created
- Mar 6, 2023
- Updated
- Mar 7, 2023
- SHA
- 22eac5a3
Try a prompt
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. -->
qamodel2
This model is a fine-tuned version of deepset/roberta-base-squad2 on the subjqa dataset. It achieves the following results on the evaluation set:
- Loss: 1.7777
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-06
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9544 | 1.0 | 81 | 2.0493 |
| 1.7079 | 2.0 | 162 | 1.8907 |
| 1.6135 | 3.0 | 243 | 1.8236 |
| 1.5829 | 4.0 | 324 | 1.7984 |
| 1.5381 | 5.0 | 405 | 1.7900 |
| 1.515 | 6.0 | 486 | 1.7827 |
| 1.5079 | 7.0 | 567 | 1.7827 |
| 1.4952 | 8.0 | 648 | 1.7777 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- cc-by-4.0
- Created
- Mar 6, 2023
- Updated
- Mar 7, 2023