Downloads · 30 days
59
25% of all-time downloads
Evidence_Retrieval_model_vit5_base_word
tringuyen-uit/Evidence_Retrieval_model_vit5_base_word
Evidence_Retrieval_model_vit5_base_word 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. --
All-time downloads
238
Public
Parameters
226M
9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors904 MB · 100%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- May 1, 2024
- Updated
- May 1, 2024
- SHA
- 80c5073d
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_vit5_base_word
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: 0.5457
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4579 | 1.0 | 1047 | 0.4647 |
| 0.306 | 2.0 | 2094 | 0.3441 |
| 0.2501 | 3.0 | 3141 | 0.3864 |
| 0.1737 | 4.0 | 4188 | 0.5220 |
| 0.1354 | 5.0 | 5235 | 0.5457 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Question Answering
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- May 1, 2024
- Updated
- May 1, 2024