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Evidence_Retrieval_model_vi_mrc
tringuyen-uit/Evidence_Retrieval_model_vi_mrc
Evidence_Retrieval_model_vi_mrc is a question answering model from tringuyen-uit. 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-nc-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-nc-4.0
- Model type
- roberta
- Access
- Public
- Created
- Apr 24, 2024
- Updated
- Apr 27, 2024
- SHA
- d1355771
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. -->
Evidence_Retrieval_model_vi_mrc
This model is a fine-tuned version of nguyenvulebinh/vi-mrc-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4764
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5132 | 1.0 | 524 | 0.3571 |
| 0.2579 | 2.0 | 1048 | 0.3149 |
| 0.1958 | 3.0 | 1572 | 0.3707 |
| 0.1473 | 4.0 | 2096 | 0.4362 |
| 0.1066 | 5.0 | 2620 | 0.4764 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- cc-by-nc-4.0
- Created
- Apr 24, 2024
- Updated
- Apr 27, 2024