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phobert-qa-finetuned-viet-qa
duyduong9htv/phobert-qa-finetuned-viet-qa
phobert-qa-finetuned-viet-qa is a question answering model from duyduong9htv. 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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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. -->
phobert-qa-finetuned-viet-qa
This model is a fine-tuned version of vinai/phobert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5288
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6004 | 1.0 | 2027 | 1.5128 |
| 1.3018 | 2.0 | 4054 | 1.4657 |
| 1.1052 | 3.0 | 6081 | 1.4754 |
| 0.9502 | 4.0 | 8108 | 1.5288 |
Framework versions
- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- Created
- Sep 19, 2022
- Updated
- Mar 22, 2023