Downloads · 30 days
7
15% of all-time downloads
QA_distell
StaAhmed/QA_distell
QA_distell is a question answering model from StaAhmed. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
47
Public
Parameters
66.4M
2.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors265 MB · 100%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Mar 6, 2024
- Updated
- Mar 6, 2024
- SHA
- 23d8e2d5
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. -->
QA_distell
This model is a fine-tuned version of StaAhmed/my_awesome_qa_model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2595
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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 14 | 0.8443 |
| No log | 2.0 | 28 | 0.6154 |
| No log | 3.0 | 42 | 0.4697 |
| No log | 4.0 | 56 | 0.3838 |
| No log | 5.0 | 70 | 0.3297 |
| No log | 6.0 | 84 | 0.3364 |
| No log | 7.0 | 98 | 0.2711 |
| No log | 8.0 | 112 | 0.3240 |
| No log | 9.0 | 126 | 0.2634 |
| No log | 10.0 | 140 | 0.2826 |
| No log | 11.0 | 154 | 0.2721 |
| No log | 12.0 | 168 | 0.2595 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 6, 2024
- Updated
- Mar 6, 2024