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QA_BERT_50_epoch
farid1088/QA_BERT_50_epoch
QA_BERT_50_epoch is a question answering model from farid1088. 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
- Mar 2, 2024
- Updated
- Mar 2, 2024
- SHA
- 4c39f7a6
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. -->
QA_BERT_50_epoch
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.9109
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: 160
- eval_batch_size: 80
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1 | 6.2090 |
| No log | 2.0 | 2 | 6.0772 |
| No log | 3.0 | 3 | 5.9414 |
| No log | 4.0 | 4 | 5.7888 |
| No log | 5.0 | 5 | 5.6358 |
| No log | 6.0 | 6 | 5.4781 |
| No log | 7.0 | 7 | 5.3259 |
| No log | 8.0 | 8 | 5.1904 |
| No log | 9.0 | 9 | 5.0758 |
| No log | 10.0 | 10 | 4.9715 |
| No log | 11.0 | 11 | 4.8743 |
| No log | 12.0 | 12 | 4.7854 |
| No log | 13.0 | 13 | 4.6994 |
| No log | 14.0 | 14 | 4.6228 |
| No log | 15.0 | 15 | 4.5529 |
| No log | 16.0 | 16 | 4.4915 |
| No log | 17.0 | 17 | 4.4442 |
| No log | 18.0 | 18 | 4.4073 |
| No log | 19.0 | 19 | 4.3770 |
| No log | 20.0 | 20 | 4.3537 |
| No log | 21.0 | 21 | 4.3292 |
| No log | 22.0 | 22 | 4.3063 |
| No log | 23.0 | 23 | 4.2858 |
| No log | 24.0 | 24 | 4.2697 |
| No log | 25.0 | 25 | 4.2673 |
| No log | 26.0 | 26 | 4.2773 |
| No log | 27.0 | 27 | 4.2956 |
| No log | 28.0 | 28 | 4.3234 |
| No log | 29.0 | 29 | 4.3491 |
| No log | 30.0 | 30 | 4.3719 |
| No log | 31.0 | 31 | 4.3902 |
| No log | 32.0 | 32 | 4.4187 |
| No log | 33.0 | 33 | 4.4387 |
| No log | 34.0 | 34 | 4.4576 |
| No log | 35.0 | 35 | 4.4799 |
| No log | 36.0 | 36 | 4.5204 |
| No log | 37.0 | 37 | 4.5620 |
| No log | 38.0 | 38 | 4.6024 |
| No log | 39.0 | 39 | 4.6346 |
| No log | 40.0 | 40 | 4.6566 |
| No log | 41.0 | 41 | 4.6756 |
| No log | 42.0 | 42 | 4.6900 |
| No log | 43.0 | 43 | 4.6994 |
| No log | 44.0 | 44 | 4.7294 |
| No log | 45.0 | 45 | 4.7631 |
| No log | 46.0 | 46 | 4.7912 |
| No log | 47.0 | 47 | 4.8192 |
| No log | 48.0 | 48 | 4.8414 |
| No log | 49.0 | 49 | 4.8611 |
| No log | 50.0 | 50 | 4.9109 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2024
- Updated
- Mar 2, 2024