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Evidence_Retrieval_vit5_base
tringuyen-uit/Evidence_Retrieval_vit5_base
Evidence_Retrieval_vit5_base 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Mar 23, 2024
- Updated
- Mar 23, 2024
- SHA
- 83e6c22b
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_400
This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4122
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 |
|---|---|---|---|
| 0.5384 | 1.0 | 1047 | 0.4676 |
| 0.3382 | 2.0 | 2094 | 0.3820 |
| 0.2546 | 3.0 | 3141 | 0.4122 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
- Task
- Question Answering
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- Mar 23, 2024
- Updated
- Mar 23, 2024