Downloads · 30 days
66
15% of all-time downloads
MRR_QA_BRT_15K_UNTIL_2_08
am-infoweb/MRR_QA_BRT_15K_UNTIL_2_08
MRR_QA_BRT_15K_UNTIL_2_08 is a question answering model from am-infoweb. 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-4.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
439
Public
Repo size
40.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin496 MB · 99%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- cc-by-4.0
- Model type
- roberta
- Access
- Public
- Created
- Aug 8, 2023
- Updated
- Aug 8, 2023
- SHA
- 3d8cae9f
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. -->
MRR_QA_BRT_15K_UNTIL_2_08
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0585
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: 1
- eval_batch_size: 1
- 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 |
|---|---|---|---|
| 0.9713 | 1.0 | 11594 | 1.1155 |
| 0.8918 | 2.0 | 23188 | 1.0256 |
| 0.9939 | 3.0 | 34782 | 1.0284 |
| 0.7113 | 4.0 | 46376 | 0.8892 |
| 0.6961 | 5.0 | 57970 | 0.8689 |
| 0.6308 | 6.0 | 69564 | 0.8036 |
| 0.4743 | 7.0 | 81158 | 0.9601 |
| 0.4245 | 8.0 | 92752 | 0.9345 |
| 0.4031 | 9.0 | 104346 | 0.9640 |
| 0.4351 | 10.0 | 115940 | 1.0585 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- cc-by-4.0
- Created
- Aug 8, 2023
- Updated
- Aug 8, 2023