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bert-11
hung200504/bert-11
bert-11 is a question answering model from hung200504. 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
- bert
- Access
- Public
- Created
- Oct 18, 2023
- Updated
- Oct 18, 2023
- SHA
- 69e549fc
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-11
This model is a fine-tuned version of deepset/bert-base-cased-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.8857
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 |
|---|---|---|---|
| 10.1921 | 0.09 | 5 | 7.0754 |
| 5.8664 | 0.18 | 10 | 5.7086 |
| 5.1625 | 0.27 | 15 | 5.4529 |
| 4.5385 | 0.36 | 20 | 5.3727 |
| 3.897 | 0.45 | 25 | 5.5354 |
| 3.6878 | 0.55 | 30 | 5.3682 |
| 2.9641 | 0.64 | 35 | 5.1507 |
| 2.7122 | 0.73 | 40 | 5.3411 |
| 2.741 | 0.82 | 45 | 5.5691 |
| 2.4612 | 0.91 | 50 | 5.7809 |
| 2.1667 | 1.0 | 55 | 6.0948 |
| 1.9087 | 1.09 | 60 | 6.2781 |
| 1.6097 | 1.18 | 65 | 6.4563 |
| 1.6726 | 1.27 | 70 | 6.5659 |
| 1.4427 | 1.36 | 75 | 6.5445 |
| 1.359 | 1.45 | 80 | 6.5064 |
| 1.3626 | 1.55 | 85 | 6.6096 |
| 1.0693 | 1.64 | 90 | 6.6934 |
| 1.1223 | 1.73 | 95 | 6.7681 |
| 1.0488 | 1.82 | 100 | 6.7284 |
| 0.8296 | 1.91 | 105 | 6.6706 |
| 0.9246 | 2.0 | 110 | 6.7214 |
| 0.7915 | 2.09 | 115 | 6.7793 |
| 0.5945 | 2.18 | 120 | 6.8051 |
| 0.6342 | 2.27 | 125 | 6.7852 |
| 0.513 | 2.36 | 130 | 6.8174 |
| 0.5309 | 2.45 | 135 | 6.8690 |
| 0.5658 | 2.55 | 140 | 6.8917 |
| 0.5028 | 2.64 | 145 | 6.8958 |
| 0.5523 | 2.73 | 150 | 6.9080 |
| 0.4203 | 2.82 | 155 | 6.9098 |
| 0.4735 | 2.91 | 160 | 6.8899 |
| 0.4147 | 3.0 | 165 | 6.8857 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Created
- Oct 18, 2023
- Updated
- Oct 18, 2023