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bert-finetuned-squad-7-finetuned-newqa
badokorach/bert-finetuned-squad-7-finetuned-newqa
bert-finetuned-squad-7-finetuned-newqa is a question answering model from badokorach. 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
- bert
- Access
- Public
- Created
- Sep 23, 2023
- Updated
- Sep 23, 2023
- SHA
- d2532b2d
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. -->
bert-finetuned-squad-7-finetuned-newqa
This model is a fine-tuned version of badokorach/bert-finetuned-squad-7 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.6437
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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 66 | 4.8867 |
| No log | 2.0 | 132 | 5.1511 |
| No log | 3.0 | 198 | 5.8491 |
| No log | 4.0 | 264 | 5.5515 |
| No log | 5.0 | 330 | 5.5515 |
| No log | 6.0 | 396 | 5.2236 |
| No log | 7.0 | 462 | 5.4818 |
| 0.0076 | 8.0 | 528 | 5.3132 |
| 0.0076 | 9.0 | 594 | 5.4253 |
| 0.0076 | 10.0 | 660 | 5.5527 |
| 0.0076 | 11.0 | 726 | 5.4605 |
| 0.0076 | 12.0 | 792 | 5.3987 |
| 0.0076 | 13.0 | 858 | 5.5341 |
| 0.0076 | 14.0 | 924 | 5.4277 |
| 0.0076 | 15.0 | 990 | 5.5373 |
| 0.001 | 16.0 | 1056 | 6.0537 |
| 0.001 | 17.0 | 1122 | 5.5327 |
| 0.001 | 18.0 | 1188 | 5.7127 |
| 0.001 | 19.0 | 1254 | 5.5445 |
| 0.001 | 20.0 | 1320 | 5.5626 |
| 0.001 | 21.0 | 1386 | 5.6203 |
| 0.001 | 22.0 | 1452 | 5.6869 |
| 0.0014 | 23.0 | 1518 | 5.7155 |
| 0.0014 | 24.0 | 1584 | 5.7069 |
| 0.0014 | 25.0 | 1650 | 5.6417 |
| 0.0014 | 26.0 | 1716 | 5.6183 |
| 0.0014 | 27.0 | 1782 | 5.6824 |
| 0.0014 | 28.0 | 1848 | 5.6416 |
| 0.0014 | 29.0 | 1914 | 5.6474 |
| 0.0014 | 30.0 | 1980 | 5.6437 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 23, 2023
- Updated
- Sep 23, 2023