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baseline001-25L-20230901
intanm/baseline001-25L-20230901
baseline001-25L-20230901 is a question answering model from intanm. 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 2, 2023
- Updated
- Sep 2, 2023
- SHA
- b969db54
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. -->
baseline001-25L-20230901
This model is a fine-tuned version of intanm/mbert-squadv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.1941
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 50 | 3.1546 |
| No log | 2.0 | 100 | 3.2274 |
| No log | 3.0 | 150 | 3.5274 |
| No log | 4.0 | 200 | 3.9318 |
| No log | 5.0 | 250 | 4.2708 |
| No log | 6.0 | 300 | 4.8027 |
| No log | 7.0 | 350 | 4.9737 |
| No log | 8.0 | 400 | 5.0809 |
| No log | 9.0 | 450 | 5.1268 |
| 1.1872 | 10.0 | 500 | 5.1941 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 2, 2023
- Updated
- Sep 2, 2023